Excess Mortality And Vaccines In Europe¶

Author: Justin Garza_

Date: See below

Description:
This notebook explores excess mortality across Europe, analyzing statistical trends and investigating potential causes through data visualization and interpretation.

Content Warning:
If you find discussions of death or its underlying factors distressing, please proceed with caution or consider whether this content is right for you.

In [1]:
from datetime import datetime
from IPython.display import display
from IPython.display import Markdown as MD
current_date = datetime.now().strftime('%Y-%m-%d')
version = datetime.now().strftime('%Y%m%d.%H%M')
display(MD(f"**Date:** {current_date}"))
display(MD(f"**version:** {version}"))

Date: 2025-01-19

version: 20250119.1411

Setup¶

In this section, we prepare the notebook by importing necessary libraries, configuring settings, and setting up directories for data and outputs. The setup ensures the environment is ready for data analysis and visualization.

Key Setup Steps:¶

  1. Library Imports:

    • General-purpose libraries: os, re, math.
    • Data analysis and manipulation: numpy, pandas.
    • Visualization tools: matplotlib, seaborn, plotly.
    • Statistical tools: scipy.stats for correlation metrics.
    • Additional utilities: pycountry for country-related metadata and IPython.display for rich notebook rendering.
  2. Notebook Display Configuration:

    • Set pandas options for displaying large datasets without truncation.
    • Configure a color palette for heatmaps using seaborn.
  3. Directory Setup:

    • Define working directories for data input (data) and output (docs).
    • Check for the existence of these directories, creating the output directory if missing.
  4. Logging:

    • Print the current working directory (DIR) to verify paths.
    • Display a warning if the data folder is missing.

This setup ensures all required dependencies are loaded and configurations are applied before proceeding with analysis.

In [2]:
# this code to will import all the things i need for this notebook

import os
import re
import math

import numpy as np
import pandas as pd

# for the notebook rendering 
from IPython.display import display, HTML, FileLink, Markdown
from IPython.display import FileLink as FL
from IPython.display import Markdown as MD


# Graphs and Charts
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
import seaborn as sns
import plotly.express as px
# use to export plotly graphs
import plotly.io as pio 

#misc
from scipy.stats import spearmanr, kendalltau
import pycountry

# pandas Settings/Options
pd.set_option("display.max_rows", None) 
pd.set_option("display.max_columns", None)
pd.set_option('display.width', 9000)
pd.set_option('max_colwidth', 400)

# colormap 
heatmapCM = sns.color_palette('Spectral_r', as_cmap=True)


## directories 
DIR = os.getcwd()
print(f'{DIR=}')

DataDIR = os.path.join(DIR,'data')
OutDIR = os.path.join(DIR,'docs')

if not os.path.exists(DataDIR):
    print('***DATA FOLDER IS MISSING***')

if not os.path.exists(OutDIR):
    os.makedirs(OutDIR)
DIR='C:\\Users\\JGarza\\GitHub\\Excess_Mortality_And_Vaccines_In_Europe'

Helping Functions¶

This section defines utility functions that streamline repetitive tasks and improve code readability. These functions will be used throughout the notebook to simplify operations, enhance modularity, and reduce redundancy.

In [3]:
def df_column_uniquify(df):
    '''
    renames columns that are the same
    '''
    df_columns = df.columns
    new_columns = []
    for item in df_columns:
        counter = 0
        newitem = item
        while newitem in new_columns:
            counter += 1
            newitem = "{}_{}".format(item, counter)
        new_columns.append(newitem)
    df.columns = new_columns
    return df
In [4]:
def abbr_to_isoalpha3(abbr):
    """
    Convert a European country ISO Alpha-2 code to ISO Alpha-3 code.

    Parameters:
        abbreviation (str): ISO Alpha-2 country code (e.g., 'DE' for Germany).

    Returns:
        str: ISO Alpha-3 country code (e.g., 'DEU'), or None if not found.
    """
    try:
        country = pycountry.countries.get(alpha_2=abbr.upper())
        if country:
            return country.alpha_3
        else:
            return None
    except KeyError:
        return None
In [5]:
# this if for converting between the abbreviation andand the names of the countries

country_dict = {
    "BE": "Belgium",
    "BG": "Bulgaria",
    "CZ": "Czechia",
    "DK": "Denmark",
    "DE": "Germany",
    "EE": "Estonia",
    "IE": "Ireland",
    "EL": "Greece",
    "ES": "Spain",
    "FR": "France",
    "HR": "Croatia",
    "IT": "Italy",
    "CY": "Cyprus",
    "LV": "Latvia",
    "LT": "Lithuania",
    "LU": "Luxembourg",
    "HU": "Hungary",
    "MT": "Malta",
    "NL": "Netherlands",
    "AT": "Austria",
    "PL": "Poland",
    "PT": "Portugal",
    "RO": "Romania",
    "SI": "Slovenia",
    "SK": "Slovakia",
    "FI": "Finland",
    "SE": "Sweden",
    "IS": "Iceland",
    "LI": "Liechtenstein",
    "NO": "Norway",
    "CH": "Switzerland",
    "UK": "United Kingdom",
    "ME": "Montenegro",
    "GE": "Georgia",
    "AL": "Albania",
    "RS": "Serbia",
    "AD": "Andorra",
    "AM": "Armenia"
}

def abbr_to_name(abbreviation):
    return country_dict.get(abbreviation.upper(), "Abbreviation not found")

def name_to_abbr(name):
    reverse_dict = {v: k for k, v in country_dict.items()}
    return reverse_dict.get(name.title(), "Country name not found")

# testing
print( abbr_to_name("BE") )  # Output: 'Belgium'
print( name_to_abbr("Belgium") )  # Output: 'BE'
Belgium
BE

Death Data¶

In this section, we import and clean the death data to prepare it for analysis.

Source¶

  • Eurostat Database

Downloading Instructions¶

  1. Visit the source link.
  2. Click "Download" and select the spreadsheet format.
  3. Confirm the download to obtain the data.

Description¶

This dataset contains the weekly count of deaths in European countries between 2015 and 2024 (up to approximately week 47).

Variables¶

  • dd: Base dataframe for the death data.
  • ddy: dd grouped by year.
  • ddr2023: Death data ranked by deaths in 2023.
  • ddr2024: Death data ranked by deaths in 2024.

Import and Cleaning¶

This step involves loading the death data and preparing it for analysis by addressing issues such as missing values, inconsistent formatting, and unnecessary columns.

In [6]:
# getting the data 
dd = pd.read_excel(os.path.join(DataDIR,"demo_r_mwk_ts__custom_14738200_page_spreadsheet.xlsx"),sheet_name = "Sheet 1")

# remove the headers
dd = dd.iloc[7:47]

# drop the bad columns
for c in dd.columns:
    if pd.isnull(dd.at[7,c]):
        dd = dd.drop(columns=[c])

# rename time columns
for c in dd.columns:
    name = dd.at[7,c]
    dd = dd.rename(columns={c: name})

# make the duplicate column names unique
dd = df_column_uniquify(dd)

# # rename the first two columns
dd = dd.rename(columns={'TIME': 'abbr'})
dd = dd.rename(columns={'TIME_1':'name'})
           
# drop, replace, reset index,
dd = dd.drop([7,8,9])
dd = dd.replace(to_replace=':', value=None)
dd = dd.reset_index(drop=True)

display(dd)
C:\Users\JGarza\pythons\Python312\Lib\site-packages\openpyxl\styles\stylesheet.py:237: UserWarning: Workbook contains no default style, apply openpyxl's default
  warn("Workbook contains no default style, apply openpyxl's default")
abbr name 2015-W01 2015-W02 2015-W03 2015-W04 2015-W05 2015-W06 2015-W07 2015-W08 2015-W09 2015-W10 2015-W11 2015-W12 2015-W13 2015-W14 2015-W15 2015-W16 2015-W17 2015-W18 2015-W19 2015-W20 2015-W21 2015-W22 2015-W23 2015-W24 2015-W25 2015-W26 2015-W27 2015-W28 2015-W29 2015-W30 2015-W31 2015-W32 2015-W33 2015-W34 2015-W35 2015-W36 2015-W37 2015-W38 2015-W39 2015-W40 2015-W41 2015-W42 2015-W43 2015-W44 2015-W45 2015-W46 2015-W47 2015-W48 2015-W49 2015-W50 2015-W51 2015-W52 2015-W53 2016-W01 2016-W02 2016-W03 2016-W04 2016-W05 2016-W06 2016-W07 2016-W08 2016-W09 2016-W10 2016-W11 2016-W12 2016-W13 2016-W14 2016-W15 2016-W16 2016-W17 2016-W18 2016-W19 2016-W20 2016-W21 2016-W22 2016-W23 2016-W24 2016-W25 2016-W26 2016-W27 2016-W28 2016-W29 2016-W30 2016-W31 2016-W32 2016-W33 2016-W34 2016-W35 2016-W36 2016-W37 2016-W38 2016-W39 2016-W40 2016-W41 2016-W42 2016-W43 2016-W44 2016-W45 2016-W46 2016-W47 2016-W48 2016-W49 2016-W50 2016-W51 2016-W52 2017-W01 2017-W02 2017-W03 2017-W04 2017-W05 2017-W06 2017-W07 2017-W08 2017-W09 2017-W10 2017-W11 2017-W12 2017-W13 2017-W14 2017-W15 2017-W16 2017-W17 2017-W18 2017-W19 2017-W20 2017-W21 2017-W22 2017-W23 2017-W24 2017-W25 2017-W26 2017-W27 2017-W28 2017-W29 2017-W30 2017-W31 2017-W32 2017-W33 2017-W34 2017-W35 2017-W36 2017-W37 2017-W38 2017-W39 2017-W40 2017-W41 2017-W42 2017-W43 2017-W44 2017-W45 2017-W46 2017-W47 2017-W48 2017-W49 2017-W50 2017-W51 2017-W52 2018-W01 2018-W02 2018-W03 2018-W04 2018-W05 2018-W06 2018-W07 2018-W08 2018-W09 2018-W10 2018-W11 2018-W12 2018-W13 2018-W14 2018-W15 2018-W16 2018-W17 2018-W18 2018-W19 2018-W20 2018-W21 2018-W22 2018-W23 2018-W24 2018-W25 2018-W26 2018-W27 2018-W28 2018-W29 2018-W30 2018-W31 2018-W32 2018-W33 2018-W34 2018-W35 2018-W36 2018-W37 2018-W38 2018-W39 2018-W40 2018-W41 2018-W42 2018-W43 2018-W44 2018-W45 2018-W46 2018-W47 2018-W48 2018-W49 2018-W50 2018-W51 2018-W52 2019-W01 2019-W02 2019-W03 2019-W04 2019-W05 2019-W06 2019-W07 2019-W08 2019-W09 2019-W10 2019-W11 2019-W12 2019-W13 2019-W14 2019-W15 2019-W16 2019-W17 2019-W18 2019-W19 2019-W20 2019-W21 2019-W22 2019-W23 2019-W24 2019-W25 2019-W26 2019-W27 2019-W28 2019-W29 2019-W30 2019-W31 2019-W32 2019-W33 2019-W34 2019-W35 2019-W36 2019-W37 2019-W38 2019-W39 2019-W40 2019-W41 2019-W42 2019-W43 2019-W44 2019-W45 2019-W46 2019-W47 2019-W48 2019-W49 2019-W50 2019-W51 2019-W52 2020-W01 2020-W02 2020-W03 2020-W04 2020-W05 2020-W06 2020-W07 2020-W08 2020-W09 2020-W10 2020-W11 2020-W12 2020-W13 2020-W14 2020-W15 2020-W16 2020-W17 2020-W18 2020-W19 2020-W20 2020-W21 2020-W22 2020-W23 2020-W24 2020-W25 2020-W26 2020-W27 2020-W28 2020-W29 2020-W30 2020-W31 2020-W32 2020-W33 2020-W34 2020-W35 2020-W36 2020-W37 2020-W38 2020-W39 2020-W40 2020-W41 2020-W42 2020-W43 2020-W44 2020-W45 2020-W46 2020-W47 2020-W48 2020-W49 2020-W50 2020-W51 2020-W52 2020-W53 2021-W01 2021-W02 2021-W03 2021-W04 2021-W05 2021-W06 2021-W07 2021-W08 2021-W09 2021-W10 2021-W11 2021-W12 2021-W13 2021-W14 2021-W15 2021-W16 2021-W17 2021-W18 2021-W19 2021-W20 2021-W21 2021-W22 2021-W23 2021-W24 2021-W25 2021-W26 2021-W27 2021-W28 2021-W29 2021-W30 2021-W31 2021-W32 2021-W33 2021-W34 2021-W35 2021-W36 2021-W37 2021-W38 2021-W39 2021-W40 2021-W41 2021-W42 2021-W43 2021-W44 2021-W45 2021-W46 2021-W47 2021-W48 2021-W49 2021-W50 2021-W51 2021-W52 2022-W01 2022-W02 2022-W03 2022-W04 2022-W05 2022-W06 2022-W07 2022-W08 2022-W09 2022-W10 2022-W11 2022-W12 2022-W13 2022-W14 2022-W15 2022-W16 2022-W17 2022-W18 2022-W19 2022-W20 2022-W21 2022-W22 2022-W23 2022-W24 2022-W25 2022-W26 2022-W27 2022-W28 2022-W29 2022-W30 2022-W31 2022-W32 2022-W33 2022-W34 2022-W35 2022-W36 2022-W37 2022-W38 2022-W39 2022-W40 2022-W41 2022-W42 2022-W43 2022-W44 2022-W45 2022-W46 2022-W47 2022-W48 2022-W49 2022-W50 2022-W51 2022-W52 2023-W01 2023-W02 2023-W03 2023-W04 2023-W05 2023-W06 2023-W07 2023-W08 2023-W09 2023-W10 2023-W11 2023-W12 2023-W13 2023-W14 2023-W15 2023-W16 2023-W17 2023-W18 2023-W19 2023-W20 2023-W21 2023-W22 2023-W23 2023-W24 2023-W25 2023-W26 2023-W27 2023-W28 2023-W29 2023-W30 2023-W31 2023-W32 2023-W33 2023-W34 2023-W35 2023-W36 2023-W37 2023-W38 2023-W39 2023-W40 2023-W41 2023-W42 2023-W43 2023-W44 2023-W45 2023-W46 2023-W47 2023-W48 2023-W49 2023-W50 2023-W51 2023-W52 2024-W01 2024-W02 2024-W03 2024-W04 2024-W05 2024-W06 2024-W07 2024-W08 2024-W09 2024-W10 2024-W11 2024-W12 2024-W13 2024-W14 2024-W15 2024-W16 2024-W17 2024-W18 2024-W19 2024-W20 2024-W21 2024-W22 2024-W23 2024-W24 2024-W25 2024-W26 2024-W27 2024-W28 2024-W29 2024-W30 2024-W31 2024-W32 2024-W33 2024-W34 2024-W35 2024-W36 2024-W37 2024-W38 2024-W39 2024-W40 2024-W41 2024-W42 2024-W43 2024-W44 2024-W45 2024-W46 2024-W47
0 BE Belgium 2461 2525 2526 2510 2644 2727 2892 2774 2643 2457 2380 2380 2270 2163 2218 2152 2087 2005 2063 1976 1950 1905 1942 2003 1900 1888 2301 1908 1797 1740 1777 1997 1852 1755 1919 1775 1917 1844 1932 1973 2019 2059 2038 2095 1951 1934 2020 2021 1992 2113 2085 2031 2123 2244 2234 2295 2263 2180 2127 2121 2230 2336 2264 2248 2364 2273 2080 2160 2049 1996 2087 2065 1926 1946 1885 1856 1851 1920 1846 1899 1933 2030 1917 1801 1788 1976 2120 1866 1835 1938 1769 1906 1904 2065 2041 2025 2088 2093 2177 2143 2191 2221 2221 2321 2418 2557 2735 2645 2691 2950 2691 2631 2389 2315 2138 2036 2106 2068 1969 1954 1917 2079 2091 2009 2110 2009 1981 1815 1868 2101 1821 1901 1847 1827 1897 1808 1826 1784 1951 1924 1883 1823 1908 1963 1955 2059 2007 1913 1892 1939 2078 2114 2080 2276 2325 2272 2350 2382 2317 2336 2253 2355 2353 2565 2628 3002 3016 2724 2594 2460 2203 2175 2044 1953 1867 1980 1860 1951 1953 1811 1734 1779 1950 2080 1833 1988 2107 2125 2000 1887 1824 1825 1909 1811 1970 1831 1965 2006 1957 1918 1907 2049 2017 2060 2107 2173 2233 2263 2251 2308 2347 2312 2395 2421 2544 2409 2418 2428 2389 2335 2167 2063 2183 1969 2095 2046 2011 2034 2034 1995 1933 1966 1847 1913 1980 1935 1788 1882 2318 1916 1766 1777 1859 2006 1838 1833 1923 1906 2048 1951 1961 2065 1935 2001 2014 2187 2122 2161 2213 2337 2152 2234 2388 2314 2204 2356 2169 2307 2301 2249 2212 2234 2554 3198 4021 4292 3703 3039 2429 2390 2042 2082 1983 1799 1899 1822 1968 1768 1682 1859 1810 1947 2046 2882 2215 1879 1891 1825 2004 1916 1920 2060 2157 2629 3282 3689 3432 3179 2893 2704 2780 2736 2617 2441 2466 2396 2437 2430 2275 2224 2316 2137 2015 2155 2101 2115 2217 2205 2165 2211 2201 2251 2076 2027 1995 1992 1878 1964 1780 1928 1829 1906 1999 1890 1877 1890 1840 1861 1954 2012 1895 1885 1939 2054 2221 2335 2327 2276 2382 2397 2485 2728 2604 2534 2431 2448 2359 2220 2356 2528 2629 2554 2445 2293 2163 2412 2387 2397 2505 2540 2439 2337 2202 2241 2055 2090 1917 2040 1932 2107 2024 1955 2028 2051 2143 2012 2060 2142 2102 2070 1983 1996 1902 2040 2086 2217 2215 2198 2166 2002 2051 2070 2209 2241 2497 2632 3039 2859 2801 2666 2346 2327 2381 2332 2415 2298 2327 2404 2307 2255 2241 2106 2082 2042 1967 1974 2074 2040 1926 1937 2117 2137 1923 1918 1938 1970 1758 1856 1779 1915 1953 1954 1829 2020 2086 1874 1975 1980 1990 2130 2183 2061 2066 2225 2222 2281 2419 2462 2457 2439 2400 2514 2582 2631 2556 2445 2352 2238 2235 2243 2132 2100 2177 2142 2127 2057 2124 2143 1957 2045 1851 1844 1980 2044 2027 2186 1929 1899 2053 2053 2021 1977 1978 1963 1854 1919 1882 2040 2048 2095 2082 2131 2072 None None None None
1 BG Bulgaria 2501 2512 2419 2339 2335 2295 2341 2535 2561 2469 2438 2362 2374 2265 2265 2242 2135 2161 2106 1981 1984 1837 1969 1980 1904 1838 1825 2028 1900 2101 2138 1999 1939 1784 1838 1975 1727 1886 1728 1832 1930 2012 2065 2188 2092 2221 2116 2027 2008 2127 2178 2158 2149 2441 2283 2280 2367 2303 2222 2103 2093 1957 2091 2096 2025 2100 2125 1925 1944 1968 2031 2054 1990 2010 1992 1782 2012 2143 1959 1806 1966 1826 1901 1971 1806 1804 1865 1759 1756 1819 1806 1862 2023 2109 2111 2135 2078 2141 2129 2096 2148 2299 2277 2435 2807 3174 3220 2817 2627 2526 2349 2357 2310 2141 2233 2117 2118 2100 2084 2028 2118 2035 1956 1985 1977 1985 2054 1960 1917 1957 2294 2010 1923 1797 1916 1946 2062 1772 1763 1805 1766 1944 1701 1710 1934 1958 2067 2061 2063 2014 2112 2072 2062 2021 2109 2041 2252 2274 2166 2374 2362 2564 2454 2381 2235 2468 2384 2238 2162 2060 2076 2062 1992 2073 1936 1887 1920 1895 1918 1952 1771 1777 1795 1896 1966 1975 1977 1904 1909 1860 1825 1826 1845 1844 1886 1889 2067 2040 2134 2094 2065 2074 2137 2163 2212 2319 2343 2345 2434 2530 2694 2754 2849 2574 2245 2300 2263 2273 2167 2123 2150 2080 2112 2092 2035 2051 1981 2120 1980 2001 1967 1931 1992 2027 1910 1953 1820 1867 1961 1856 1896 1920 1934 1861 1737 1751 1789 1827 1888 1888 1970 1911 2040 2194 2027 1954 2076 2126 2112 2136 2120 2091 2262 2166 2375 2414 2328 2286 2142 2152 2011 2000 1970 1999 1951 1920 2024 1981 1891 1913 2087 1898 1799 1922 1951 1930 1904 2138 2043 1846 1987 2161 2059 1975 1911 1937 1946 1912 1849 1844 1986 2084 2157 2372 2732 3236 3948 4407 4739 4753 4370 3945 3242 2968 2628 2489 2525 2464 2388 2371 2494 2589 2755 3020 3391 3686 4044 3787 3738 3437 3139 2801 2552 2362 2184 2098 2054 2030 2291 2139 2099 2091 1936 2104 2242 2243 2085 2348 2479 2658 2900 2776 2842 3073 3403 3841 4049 4171 4092 3987 3657 3491 3310 3132 3100 3084 3170 3166 3276 3501 3649 3651 3470 3046 2712 2671 2442 2504 2394 2311 2148 2059 2144 1893 2024 1983 1975 1900 1767 1780 1858 1873 1860 1928 2003 2164 2155 2054 2073 1984 1862 1937 1903 1844 1973 1969 1996 2095 2122 2160 2092 2143 1945 2020 2143 2120 2122 2219 2304 2268 2380 2105 2056 2152 2261 2087 1980 1926 1956 1919 1972 1834 1892 1970 1862 1853 1834 1842 1915 1836 1834 1692 1938 1631 1726 1918 2075 1818 1801 1689 1764 1903 1731 1628 1718 1736 1742 1714 1907 1946 2020 1941 1990 2042 2124 2083 2010 2059 2023 2251 2305 2190 2266 2233 2236 2196 2031 2018 1879 1814 1869 1787 1823 1836 1812 1784 1722 1728 1836 1742 1792 1847 1928 1868 1725 1829 1779 1921 2177 1844 1774 1825 1888 1861 1709 1744 1697 1786 1886 1712 None None None None None None None
2 CZ Czechia 2378 2432 2396 2499 2580 2598 2732 2684 2609 2357 2291 2273 2222 2209 2111 2183 2193 2041 1988 1983 1993 2029 1995 1886 1761 1890 2050 2139 1943 2109 1886 2156 2521 1813 1963 1989 1922 1961 1915 2007 2035 2080 2098 2016 2020 2023 1975 1979 2019 2048 2009 2029 2156 2222 2054 2175 2116 2137 2245 2160 2214 2235 2096 2155 2148 2191 2138 2075 1949 2114 1982 2001 1964 2000 2042 1893 1915 1993 1970 1886 1918 1981 1942 1827 1839 1949 2043 1918 1980 1930 1834 1988 1991 2083 2142 2035 1997 1968 2134 2084 2125 2200 2204 2435 2620 2763 2811 2833 2761 2598 2640 2492 2357 2353 2225 2164 2103 2075 2069 1994 2043 2051 2041 2074 1974 1932 2033 1836 1978 2042 1939 1953 1886 1972 1770 2077 1959 1861 1939 1848 1920 1991 2058 2125 2235 2156 2029 2101 2053 2040 2057 2071 2116 2102 2187 2119 2201 2143 2126 2230 2190 2216 2404 2602 2754 2819 2994 2782 2607 2383 2262 2257 2061 2090 2022 1958 1962 2013 1995 2038 1863 1964 1940 1979 2041 2039 2153 2379 2118 1923 2004 1902 1979 2014 2056 1906 2123 2076 2014 2024 2148 2046 1991 2141 2095 2194 2136 2303 2145 2321 2290 2311 2365 2497 2445 2509 2496 2313 2383 2262 2198 2124 2131 2145 2094 2103 2051 2093 2025 1995 2093 2020 2145 1980 2067 2046 1956 2034 2171 2010 2027 2026 2011 2151 1922 1944 2030 2157 2153 2197 2099 2139 2066 2110 2231 2173 2134 2078 2226 2248 2245 2305 2325 2244 2337 2364 2355 2391 2350 2360 2294 2295 2325 2297 2320 2244 2125 2036 2109 1999 2026 1919 1939 2135 1983 2022 2082 2111 1999 1989 2088 2227 2166 2187 2104 2033 2038 2089 2220 2392 2381 2609 2946 3647 4226 4238 3852 3424 3169 3100 3104 3242 3214 3518 3846 3751 3598 3449 3274 3443 3472 3631 3919 4028 3835 3470 3389 2947 2639 2511 2475 2305 2247 2052 1959 2054 1967 2055 2002 1887 1935 2030 1959 2107 1912 2032 1983 1955 1999 2074 2125 2098 2074 2112 2217 2311 2570 2691 2883 3047 3235 3388 3370 3132 2937 2769 2553 2553 2358 2372 2627 2676 2614 2496 2405 2385 2301 2452 2503 2415 2304 2311 2240 2258 2182 2031 1889 2047 2057 1973 1973 2161 1872 1956 2310 2183 2198 2157 2180 2103 2023 2158 2219 2281 2349 2397 2335 2298 2279 2151 2210 2200 2239 2414 2426 2707 2969 3099 2919 2609 2481 2297 2327 2280 2318 2280 2290 2311 2199 2248 2166 2097 2205 2133 2056 2096 1960 2016 1941 1938 1969 1933 2095 1914 1959 2050 1937 1846 1865 1970 2111 2178 1898 1905 1958 2006 1936 2042 2186 2170 2206 2131 2150 2316 2286 2360 2439 2425 2462 2469 2401 2290 2368 2471 2417 2612 2331 2295 2131 2093 2083 2034 2087 2108 2015 2012 1919 2019 1914 1964 1990 1956 1968 1906 2135 2059 1903 2086 1964 2069 2081 1986 2095 1965 2081 2113 2027 2110 2158 2211 2288 2238 2114 None None None None
3 DK Denmark 1127 1108 1093 1068 1086 1118 1106 1131 1177 1210 1184 1086 1093 1044 1081 1052 934 996 978 921 974 977 959 1017 913 897 942 951 917 951 947 929 953 926 901 879 913 942 963 959 927 948 997 993 971 985 986 1083 1105 1033 1024 994 986 1103 1065 1046 1124 1083 1040 1062 1124 1143 1149 1159 1074 1084 1023 1071 1010 985 1042 1023 935 975 953 913 920 983 897 924 898 971 962 902 956 914 971 922 955 932 904 983 910 1022 1040 989 1003 1017 1045 1046 1010 1043 1067 1060 1149 1113 1111 1099 1104 1211 1100 1228 1156 1179 1101 1132 1126 1041 988 1009 967 974 1059 1015 1022 969 956 985 1023 980 938 905 941 931 925 934 932 906 953 951 918 991 979 983 978 985 970 934 976 956 1070 1011 1027 1067 1102 1058 1134 1134 1136 1156 1119 1157 1186 1265 1260 1323 1337 1253 1286 1186 1138 1164 1052 1008 1010 1025 1012 953 977 1009 941 958 915 1007 971 994 1091 1084 1029 1017 990 935 975 949 994 950 1033 992 958 973 1007 992 954 996 994 1085 1044 1096 1006 1130 1155 1118 1085 1209 1250 1176 1110 1090 1051 1063 1039 1022 1085 1018 1046 1015 1067 1028 974 970 983 991 969 1015 1002 935 953 977 967 962 936 931 1006 996 983 966 1007 1016 972 1033 998 1026 954 1046 1037 1057 1095 1104 1107 1042 1038 1117 1150 1071 1033 1094 1079 1059 1034 1025 1061 1066 1140 1112 1156 1143 1078 1086 1048 1027 951 994 968 962 1000 948 984 996 957 1026 944 983 957 993 995 953 985 984 1082 974 996 938 1008 1096 979 1026 1097 1082 1097 1105 1095 1273 1212 1259 1234 1213 1270 1218 1206 1114 1062 970 974 1052 968 1034 973 975 1029 1060 1014 1120 1046 1050 1032 1031 1053 1000 1006 1061 956 1075 1051 1058 1134 1085 1048 1064 1052 1093 1050 1051 1139 1064 1161 1130 1138 1141 1142 1132 1209 1215 1266 1261 1286 1275 1350 1210 1179 1180 1209 1281 1267 1254 1230 1222 1189 1223 1198 1197 1159 1082 1129 1095 1018 1070 994 1054 1046 1037 1115 1130 1028 1014 1101 1069 1091 1074 1148 1119 993 1053 1002 1033 1100 1140 1085 1145 1103 1018 1091 1064 1144 1166 1209 1360 1421 1385 1364 1297 1186 1146 1169 1122 1150 1180 1123 1199 1174 1135 1105 1166 1130 1139 1114 1094 1140 1053 1014 991 1017 1034 1071 942 1073 1072 999 1024 1018 1009 1011 977 1003 1095 1031 993 1051 1036 1073 1076 1129 1204 1115 1143 1132 1204 1254 1350 1318 1209 1218 1358 1241 1162 1175 1206 1185 1094 1099 1113 1104 1044 1037 1071 1109 1060 1095 1057 998 1005 1051 1055 965 1026 1007 1059 1014 1061 1017 1009 1052 1040 1020 1026 1064 1099 1000 1048 1053 1068 1119 1075 1062 None None None None
4 DE Germany 18713 19283 19500 19346 20716 20905 22395 23264 23598 22002 20770 20009 19106 18668 18089 18116 17668 17114 17072 16732 16330 16200 16777 16272 15619 16152 19252 17361 16447 16272 15432 16651 16881 15233 16117 15654 15952 16034 15667 16429 16776 16848 17341 16795 17024 16618 16849 16802 17009 17054 17408 17176 17210 18467 18439 18627 18707 18493 18541 18483 18475 18926 18888 18971 18826 18617 18244 17712 16775 17053 16901 17629 16601 16286 16346 15799 15717 16910 15699 16229 16172 16985 16157 15439 15487 16258 17147 16101 16116 16372 15606 16336 16352 17427 17599 17586 17580 17782 18591 17911 18146 18793 18885 19376 19744 20918 22070 21236 22083 23640 22744 22683 22266 20930 19102 18665 17640 17731 17028 16901 16637 17634 17129 17343 17079 16451 16902 15846 16087 16819 16076 16424 15603 16589 16058 16494 15784 16148 15880 16064 15706 16146 16505 16747 16664 17470 17139 17059 16762 17371 17594 17676 17877 18295 18504 18500 18652 19342 18770 19187 19171 19558 20086 21254 22888 25535 26777 24385 22777 20906 20038 19165 17992 17093 16789 17226 16488 16513 17039 16714 15582 15843 16569 16622 16070 16702 18340 20371 18478 16890 16612 16000 16390 16292 16651 15969 16622 16993 16552 16608 16895 17604 16842 17785 18091 18342 17943 18990 17954 18686 19170 19163 19505 19812 19981 20150 20349 20790 20453 19795 19016 18562 18671 17852 18089 17894 17090 17118 17315 17080 16921 17491 16484 16639 17918 16552 16319 16856 19630 17034 16540 15934 16263 17637 15988 16303 16500 17402 16899 17666 17713 17327 17488 17859 18242 18535 18581 19143 19101 19062 18204 18883 19408 18953 18827 19774 19038 19648 18953 19505 19667 19849 19722 19678 20662 20502 19261 18557 17920 17651 17001 17163 16776 17262 16601 16401 17293 16457 16142 16537 16887 17433 17470 19720 17559 16656 16789 17155 17555 17446 17614 17501 17754 18588 18584 19007 19727 20182 21304 22604 24003 24724 25554 25497 24919 24532 24129 22674 21773 20946 20493 18979 18455 18606 18374 18437 18520 18873 19098 19282 19555 19329 18579 17811 17193 18191 17442 19076 17191 17013 16994 17662 17613 17211 17021 17560 17501 17151 17341 18879 18057 18157 18129 18209 18949 19761 20387 20426 21071 22344 23273 24185 24032 23009 22479 22174 20870 19921 19845 20224 20698 20495 21165 20375 20811 21251 21357 21236 20883 20953 20253 19579 19361 19225 19265 18565 17232 18104 17960 18497 19059 18562 18155 19019 20987 20297 19972 19832 19932 18992 18294 18777 18276 19121 20402 20627 21790 21819 21449 19933 20188 20825 21451 22273 24125 25977 28682 27291 25464 22713 21253 20657 21083 20547 20996 20901 21053 21935 21828 21332 20730 19974 20157 19861 19310 19055 18896 18385 18416 18032 18389 17857 18097 17059 17168 17758 16779 16976 16885 17479 18498 18159 16772 18151 17928 17392 17670 18216 18803 19492 20291 20392 20621 20837 21099 22058 23006 22700 23168 22130 21742 21370 21773 22100 21906 22247 21197 20188 19876 19311 19392 18724 18871 19076 18380 18117 18641 18939 18144 18697 17561 17476 17418 17788 18173 19110 17151 18073 18037 17103 17687 17379 18315 17205 17852 18395 17349 18651 18645 18696 19625 19929 19547 19310 19548 20352 20775
5 EE Estonia 354 340 294 321 329 332 324 332 324 355 341 331 317 304 311 297 302 265 278 333 283 285 289 267 285 239 277 250 236 238 259 276 289 261 259 248 301 285 292 301 316 296 279 270 277 285 256 282 258 305 318 267 268 322 334 301 335 319 353 276 313 317 293 303 263 323 312 307 298 295 304 299 288 276 277 258 276 270 263 251 270 276 264 232 280 285 278 271 283 278 295 305 282 284 313 313 303 330 299 292 284 286 312 309 364 364 393 386 360 392 351 344 337 304 328 296 304 322 286 293 285 267 308 319 292 290 268 293 262 247 272 290 249 242 296 272 304 260 270 305 259 265 267 271 273 269 285 291 324 262 299 267 324 294 264 301 310 328 319 290 338 333 343 347 389 391 391 384 361 326 337 319 318 276 269 268 300 281 266 262 282 277 261 230 280 310 291 321 302 234 261 255 278 265 284 283 273 301 282 299 282 259 284 289 283 316 319 318 329 351 338 383 324 325 325 317 322 331 305 294 300 296 257 290 299 286 301 274 313 303 276 296 257 281 279 263 278 286 314 256 269 323 251 271 261 254 277 282 305 257 286 296 293 271 288 299 291 327 304 305 302 294 326 308 299 307 271 322 331 315 293 340 311 325 312 310 309 319 304 307 285 278 301 269 273 279 287 268 270 284 296 304 281 295 265 298 280 256 312 330 301 274 309 304 267 287 291 317 334 339 348 344 360 368 378 392 406 353 348 376 342 405 418 420 421 403 406 404 386 367 313 341 344 318 320 295 302 302 395 310 367 319 279 280 308 305 291 292 325 339 297 346 346 342 348 355 414 419 392 397 416 363 379 373 375 284 381 372 333 357 390 374 429 438 400 383 362 346 326 317 303 316 275 305 321 285 280 283 325 296 333 336 306 296 298 311 314 276 313 302 279 290 336 313 353 306 310 282 314 345 331 338 298 316 372 397 374 365 388 407 373 334 318 310 335 296 294 309 287 287 309 283 300 328 312 303 303 298 261 294 309 309 315 250 268 279 287 254 270 251 286 271 271 286 249 276 272 260 323 339 313 321 304 333 314 322 349 365 415 363 376 391 398 368 346 323 337 317 325 290 309 332 297 299 327 300 287 264 297 305 289 258 268 260 320 309 263 293 260 247 271 278 291 273 302 271 254 271 336 304 332 293 324 330 314 None None
6 IE Ireland 632 698 677 654 698 680 684 700 700 694 657 648 641 617 613 580 575 579 565 608 563 563 518 554 533 519 524 528 510 472 487 536 564 561 491 568 575 510 599 546 609 592 618 580 570 571 555 542 585 638 628 628 664 708 690 702 719 650 675 673 621 662 649 637 678 619 632 620 538 601 610 553 532 564 573 556 518 510 518 525 528 565 547 494 516 537 498 530 565 560 551 574 551 559 563 590 534 571 670 615 659 697 685 693 749 803 812 803 726 660 625 633 654 611 638 578 577 562 564 558 574 591 559 554 545 565 520 501 548 550 520 540 510 523 510 539 540 502 548 561 535 584 581 544 573 592 606 629 544 598 653 598 581 637 700 686 768 816 811 825 724 770 739 723 665 712 746 664 641 648 648 598 612 581 543 506 539 589 568 544 541 504 587 583 522 550 526 504 524 490 523 547 525 562 563 545 566 566 601 563 578 637 604 602 595 615 637 611 624 663 702 647 717 705 698 682 606 638 634 596 550 609 571 617 597 569 599 626 569 566 620 532 564 616 534 575 509 523 522 495 484 533 547 560 537 563 552 566 571 596 594 604 637 597 624 654 629 639 674 725 709 708 737 648 622 639 639 663 630 625 642 622 626 680 835 898 848 762 696 654 605 549 575 520 537 522 509 480 515 562 524 478 536 530 540 541 534 605 515 538 618 600 595 623 644 581 621 583 584 608 599 617 635 677 798 918 985 982 898 845 760 675 630 588 583 597 622 570 589 596 593 632 589 574 612 569 560 516 523 590 519 600 656 569 537 615 596 578 625 647 567 624 689 642 673 682 656 742 704 664 728 703 724 690 748 687 744 662 737 694 703 689 687 697 678 698 652 682 668 725 765 683 659 600 647 673 654 594 607 633 585 635 623 626 607 621 609 631 598 612 597 618 584 628 668 644 699 670 686 682 693 717 715 718 760 811 920 988 950 917 812 758 690 711 674 662 632 752 724 675 633 672 668 648 680 646 670 630 620 629 597 664 616 586 632 602 608 587 619 602 648 665 633 630 622 627 622 699 652 723 696 652 668 677 715 639 744 764 731 726 749 772 769 842 770 706 709 696 703 732 693 695 688 670 617 713 646 685 598 643 608 606 605 596 658 656 667 606 610 622 615 614 651 606 628 610 646 628 618 693 617 674 639 615 None None None
7 EL Greece 2645 3013 3053 3065 2778 2665 2551 2690 2790 2629 2547 2457 2376 2390 2408 2426 2240 2287 2327 2015 2075 1941 2090 2107 2235 1922 1917 2271 2197 2443 2479 2372 2242 2081 2055 2276 2040 1982 1919 1849 2101 2056 2072 2202 2337 2363 2253 2222 2131 2306 2387 2480 2569 2637 2638 2601 2652 2649 2594 2436 2215 2139 2248 2255 2185 2259 2275 2227 2100 2081 2246 2209 2121 2027 2199 1999 2175 2914 2318 2155 2186 1993 2285 2324 2212 2122 2049 2013 2041 1971 1882 1972 2081 2047 2142 2177 2148 2349 2244 2431 2413 2475 2414 2716 2875 3425 3680 3364 3082 3002 2790 2675 2523 2399 2405 2444 2458 2253 2363 2363 2367 2325 2265 2159 2030 2013 2212 2121 2136 2170 2732 2542 2418 2090 2143 2307 2726 2288 2052 2076 1976 2100 1980 1926 2076 2185 2230 2157 2214 2310 2266 2319 2336 2278 2455 2367 2496 2533 2453 2345 2548 2605 2557 2469 2493 2610 2532 2415 2330 2365 2341 2349 2319 2175 2226 1980 2112 2021 2223 2302 2188 2080 2045 2361 2160 2356 2195 2231 2288 2285 2260 2178 2196 2063 2100 2022 2176 2244 2164 2261 2301 2232 2392 2438 2312 2451 2503 2535 2632 2706 3105 3039 2860 2893 2772 2563 2660 2769 2519 2470 2391 2332 2413 2312 2220 2403 2360 2323 2268 2210 2281 2285 2546 2376 2419 2377 2258 2097 2337 2386 2391 2361 2264 2356 2122 2084 2110 2087 2158 2070 2123 2170 2283 2303 2216 2216 2395 2512 2463 2445 2459 2749 2910 2863 2772 2990 2849 2782 2470 2543 2644 2596 2550 2439 2454 2362 2268 2205 2307 2127 2472 2329 1963 2101 2211 2352 2180 2670 2304 2136 2237 2714 2529 2368 2361 2298 2316 2274 2275 2156 2224 2213 2144 2224 2413 2549 2785 3149 3298 3338 3115 2938 2767 2686 2650 2497 2651 2625 2493 2463 2535 2668 2724 2657 2788 2759 2930 2898 2971 2663 2805 2937 2439 2501 2584 2318 2393 2314 2960 3154 2703 2702 2451 2827 3895 2954 2673 2781 2567 2522 2721 2440 2442 2456 2489 2514 2722 2995 2853 2990 3174 3177 3344 3293 3296 3310 3278 3378 3269 3677 3558 3241 3065 2797 2847 2846 3046 3042 3037 2872 2806 2624 2647 2336 2485 2398 2423 2596 2369 2276 2477 2526 2740 2580 2654 3222 3088 2765 2626 2383 2399 2249 2260 2098 2394 2192 2253 2280 2441 2462 2415 2596 2479 2752 2716 2588 2699 3045 3021 3086 2960 2847 2799 2860 2885 2745 2700 2525 2365 2429 2445 2278 2361 2368 2368 2373 2251 2232 2259 2209 2309 2094 2284 2154 2368 2424 2989 2959 2350 2126 2384 2619 2351 2161 2250 2271 2193 2116 2083 2241 2289 2201 2162 2180 2428 2551 2403 2682 2746 2937 2997 2875 2903 2664 2656 2654 2359 2390 2332 2257 2211 2219 2347 2237 2187 2127 2110 2147 2306 2162 2347 2094 2516 2420 2529 2343 2348 2665 3268 2833 2577 2397 2673 2396 2383 2395 2232 2169 2249 2242 2210 2181 2209 2281 None None None
8 ES Spain 9605 10415 10738 10625 11046 10682 10857 10580 10058 9421 8785 8379 8366 8282 7894 7855 7802 7365 7464 7543 7234 7096 7364 7152 6956 7111 8146 8351 8164 7798 7349 7219 7075 6801 6954 6603 6660 6617 6898 6813 7055 7119 7267 7392 7412 7325 7397 7849 8080 8032 8342 8031 8427 8658 8671 8791 8491 8461 8556 8479 8670 8645 8653 8811 8291 8375 7998 7859 7589 7462 7606 7374 7533 7304 7255 7576 7140 7173 7345 7505 7423 7377 7295 7425 7233 7102 7184 7100 7203 6641 6956 7036 7072 7036 7185 7512 7244 7775 8076 8090 8321 8124 8612 8980 9855 10726 11414 11334 11068 10636 9660 9017 8670 8371 8213 7906 7875 7827 7814 7800 7574 7661 7520 7622 7494 7666 7092 7067 7819 7991 7137 7156 7214 7259 7110 7596 7186 7118 7219 7013 6680 6730 7091 7367 7388 7234 7392 7308 7511 7632 8063 8169 8257 8620 9262 9628 10412 11204 10905 10981 10324 9893 10015 10105 9656 9599 9203 8862 8616 8628 8414 8335 8112 7735 7359 7595 7511 7527 7306 7109 7154 7713 7698 7305 7366 7186 7155 7731 8003 7194 7015 6927 6906 6834 7153 7230 7210 7437 7350 7327 7794 8012 7999 7932 7929 8051 8312 8427 8650 9127 10025 10476 10141 9964 9686 9363 9216 8920 8595 8205 8027 8171 8087 8055 7801 7759 7744 7731 7536 7436 7618 7508 7016 7404 7570 8050 7463 7301 7464 7136 7317 7128 6920 6898 6904 6939 6996 7027 6978 7312 7314 7543 7698 7677 8036 8217 8328 8021 8340 8393 8333 8710 9398 9917 9954 9974 9192 8839 8413 8379 8465 9481 12843 19828 20967 17325 13244 10452 9008 8458 7536 7643 7620 7144 6849 7032 7512 7635 7732 7562 7827 8589 8394 8170 7886 7954 7777 7998 8168 8064 8188 8593 8594 9470 9596 10316 10030 9695 9534 9541 9534 9287 9015 9524 10470 11858 12950 12701 11571 10368 9488 9032 8542 8318 8077 8189 8195 8080 7947 8084 7867 8062 7738 7606 7437 7353 7710 7799 7285 7557 7544 7563 8481 8362 8642 8860 8766 8214 7936 7895 7504 7430 7548 7526 7586 7744 8179 7821 8717 8793 8846 9386 9017 9503 9780 9845 9904 10626 10815 11166 10848 10071 9281 8887 8657 8488 8535 8486 8483 8665 8670 8378 8468 8478 8800 8881 8194 8116 8140 9308 8520 8566 9067 10856 10965 9925 9437 9249 8080 8154 7645 7615 7567 7339 7495 7931 7743 8115 7904 7643 8187 8390 8498 8981 9422 9466 9717 9658 9925 10055 9902 9714 10167 10186 9832 9649 9597 9678 8933 8383 8310 8092 8179 8021 8118 7596 7537 7555 7764 7549 7649 7584 7437 7718 7419 7676 7833 7492 7627 7719 7811 8643 7845 7618 7327 7368 7498 7816 7579 7590 7708 7669 8134 8297 8126 8611 8475 9031 9850 10896 11881 11776 11272 9864 8811 8972 8642 8468 8449 8853 8779 8652 8144 8434 8208 8227 8153 7848 8371 7867 7975 8071 8116 7720 7786 7966 7757 8030 8030 8071 8492 8396 7897 7517 7566 7229 7289 7540 7518 7773 7782 7818 7913 8259 8164 8044 8184
9 FR France 12986 13364 13006 12830 13497 14185 14913 14550 13820 13153 12511 12114 11905 11361 11453 11094 10986 10798 10702 10331 10222 10339 10643 10385 10095 10409 11412 10548 10410 10163 9947 10725 10176 10091 10306 10069 10400 10538 10649 10995 11328 11108 11507 11336 10974 10608 10692 11159 11342 11411 11426 11321 12017 12183 12247 12403 12065 11963 12059 11846 11753 12252 12158 12309 12111 12212 11826 11456 10923 10963 11097 10931 10769 10720 10266 10553 10154 10650 10310 10712 10399 11162 10116 10061 10030 10451 10760 10313 10421 10442 10499 10733 10906 11495 11607 11594 11389 11592 11919 11632 11636 12147 12508 13474 14659 15777 15953 14956 15033 14514 13650 12848 12231 11960 11699 11254 10996 11009 10880 10872 10916 11242 11096 10941 10865 10846 10375 10086 10334 11076 9926 10821 10334 10529 10410 10672 10133 10326 10644 10558 10021 10611 11341 11476 11220 11350 11080 11201 11247 11535 11653 11840 12013 12278 12832 12936 13709 14389 13866 13429 12695 12409 12950 12894 13383 14473 14595 13387 12932 12718 12263 11930 11822 11061 10915 10577 10678 11024 10738 10372 10246 10454 11136 11011 10513 10738 11196 11002 10994 10163 10618 10363 10754 10785 10772 10689 11310 11391 11012 11258 11436 11712 11474 11706 11811 11567 11733 12260 12182 13084 13610 13497 13931 14199 14314 13843 13735 13363 12709 11976 11813 11580 11725 11254 11549 11500 11096 11269 11195 11053 10700 10595 10574 10757 11403 11000 10556 10606 11624 10371 10592 10237 10607 11073 10365 10797 11144 10779 11191 11362 11419 11452 11648 11820 11992 12372 12253 12189 12462 12625 12437 12979 13436 12835 12585 12787 12660 12509 12104 12280 12411 12810 14205 16438 19052 17786 15658 13046 11534 11307 11009 11376 10696 10641 10656 10709 11381 10286 10589 10394 10822 11152 11014 12085 10774 10807 10912 11493 12128 11166 12168 12131 12454 13963 14882 15886 15740 15273 14977 14817 14792 14367 14129 14679 14976 14940 15440 15038 14717 14448 14424 13641 13246 13113 13272 13097 13516 13290 13362 13517 13026 12777 11797 11521 11366 11142 11005 11162 10157 10441 10831 10630 11834 11021 11042 12147 11934 11581 11999 12233 11329 11286 11657 11727 12397 12283 12563 11976 12413 12564 13137 13768 14284 14190 14951 15038 14923 14964 14894 15494 15538 14693 14085 13057 13137 12897 12709 12722 13125 13389 13509 12990 12426 12343 11830 11615 10690 11404 10909 11693 11322 10802 11823 12812 13368 12010 12257 12454 11654 11473 11420 11154 11229 11850 12365 12707 12718 12872 12345 11981 12414 13103 13325 13592 14987 15986 17175 16867 15774 14418 13839 13621 13261 13192 12982 12785 12777 12983 12593 11978 11882 11916 11987 12186 12079 11699 11262 11314 11715 11548 11634 11230 11022 10459 10901 10941 10761 10856 10473 11352 11425 11824 11357 11785 11333 11045 11541 11640 11933 12268 12809 12626 12622 12572 12691 13347 14102 13951 14097 14316 14743 14512 14778 14485 13868 13614 13193 12802 12653 12601 12524 11845 11984 11866 11900 11372 11981 11772 11607 11321 11356 11097 11715 11395 11679 11644 10929 11511 11447 10971 11329 11264 11242 10912 11263 10922 10982 12115 11935 12526 12800 12645 12056 11606 11301 None None
10 HR Croatia 1177 1254 1276 1231 1215 1287 1306 1301 1239 1215 1208 1232 1085 1137 1078 1026 1041 1019 1011 926 947 855 998 1000 875 880 996 1010 1049 1230 918 1040 1066 827 929 911 909 1057 891 927 914 945 949 953 1004 951 938 955 982 953 938 1033 1046 1115 1032 1074 1114 1024 1063 989 980 987 1047 1034 1008 1086 1003 966 931 940 1005 912 987 1003 963 903 906 975 906 874 910 904 942 874 804 930 951 911 897 903 876 1008 958 1029 944 968 971 1006 984 1007 975 1067 1157 1188 1263 1465 1621 1475 1369 1304 1164 1118 1072 1104 983 1035 1038 969 995 970 996 1025 999 925 931 894 984 906 857 1004 933 973 1010 979 863 1106 1022 850 876 917 875 862 918 969 965 994 939 945 1000 977 985 940 1020 1038 1028 989 1093 1128 1165 1203 1137 1146 1154 1157 1134 1225 1266 1165 1072 1061 1065 1007 947 1028 878 935 919 930 950 917 901 845 884 985 947 911 916 1044 1030 956 939 879 918 929 926 913 1035 957 959 1004 950 925 986 981 1009 982 1070 1078 1114 1154 1220 1238 1319 1286 1133 1126 1093 1031 1130 1018 970 987 1032 958 914 1033 947 958 943 952 893 1024 1040 909 960 930 870 933 985 865 892 884 928 939 831 893 875 944 921 975 942 919 940 966 999 915 915 989 1021 1048 1024 1033 1056 1016 1134 1094 1059 1091 1045 1021 1056 1082 1094 1122 1012 1001 978 868 909 880 908 904 848 972 979 889 927 970 919 888 974 1059 956 926 921 972 931 1000 975 963 1065 970 1096 1136 1156 1287 1361 1489 1484 1713 1761 1785 1681 1525 1342 1358 1307 1244 1204 1161 1121 1096 1034 1080 1021 1142 1231 1283 1289 1318 1341 1252 1255 1106 1047 1143 1061 1030 1116 982 1002 991 909 1069 957 1063 996 963 1043 1092 1111 1080 1106 1099 1130 1218 1325 1404 1535 1563 1716 1636 1568 1536 1488 1478 1415 1405 1454 1558 1613 1415 1422 1235 1218 1137 1178 1089 1096 1079 1085 1039 997 1032 1017 869 901 928 953 872 993 1016 1048 950 1108 1113 1098 990 962 1032 960 971 911 918 1076 1024 998 983 992 970 1017 977 1040 1037 1085 1131 1250 1284 1270 1158 1128 1115 1132 1082 1116 1091 984 966 945 975 924 974 982 988 951 955 898 906 934 906 901 824 976 900 878 930 986 923 944 827 1004 972 905 926 864 925 915 951 927 959 965 931 892 974 966 1039 1153 1126 1222 1150 1169 1170 1102 1186 1148 1225 1104 1028 933 944 958 936 923 987 898 861 873 909 916 896 849 841 946 884 853 905 846 974 1152 933 982 919 1062 993 992 1001 849 1001 1018 958 949 914 927 884 None None None
11 IT Italy 15178 15811 15480 14922 15228 15640 15510 15149 14544 14211 13846 13455 13126 12832 12811 12781 12046 11946 12177 11518 11058 10848 12060 11447 10591 10808 11819 13269 13303 14555 12009 12595 11716 10619 11116 11352 10629 11358 10687 11228 11624 11389 11834 11722 11850 11629 11689 11738 12501 12491 12463 12560 13218 13517 13055 13545 13388 12997 13168 12685 12709 12772 12845 12887 12525 12725 12291 11822 11594 11420 11595 11422 10950 11509 10842 11030 10766 11442 11247 11293 11324 11170 11042 10991 10606 11144 11193 10748 10479 10584 10321 11094 11158 12362 12060 11816 11744 11889 12476 12146 12205 12543 13262 14861 16489 18072 18990 17973 16487 15747 14081 13852 13290 13148 12917 12783 12602 12300 11848 12084 11553 11972 12050 11859 11635 11538 11554 10878 11494 11700 11164 11170 11642 11117 11091 13013 13993 11673 10922 11110 10542 10787 10976 11456 11562 12010 11902 11929 11761 12238 12478 12418 12555 13051 13501 13467 14956 16245 15947 15234 14698 14551 13844 14034 14026 14406 14197 13306 12417 12793 12404 12140 11917 11742 11060 11030 10857 11329 11317 10996 11091 11003 10550 11146 11117 11180 11132 12305 12469 11204 11189 10851 11008 11098 11177 10903 11485 11614 11593 11891 11551 11805 11811 12532 12391 12739 12827 13306 13426 14168 14863 15325 15360 15807 15228 15072 14674 14605 13827 13344 12655 12486 12714 12107 12167 11895 11522 11699 11552 11619 11350 12261 11982 11375 12667 12324 11617 11019 12024 10974 11395 11256 11046 10908 10448 11025 10907 10986 10953 11441 11515 11769 11234 11740 12125 11968 12024 11897 12666 12981 12398 13483 13974 14049 13989 13900 13537 13641 13257 13696 14706 18234 21929 23457 20901 18949 16757 14725 13156 12604 11976 11447 10982 11144 10708 11123 12070 12396 11484 10923 11393 12724 12115 12410 11914 11761 11262 11627 11821 11179 12017 12246 12746 14547 15659 17335 18647 18784 18887 17995 17482 17073 15703 16338 16831 16921 17209 16383 15657 14324 14965 14443 14751 15259 15559 15982 15929 15219 14646 14576 13761 12813 12428 12188 12005 11957 11874 11716 12871 12419 12039 11693 11999 12850 12646 13752 12889 12075 12021 12142 12231 11633 11534 11378 12515 13072 12703 12743 12794 12781 12751 13879 14237 14972 15214 15021 15960 16909 17035 17347 16852 15581 14667 13896 13932 14089 14045 13686 13824 13739 13541 13064 12801 12648 12725 12495 12295 11661 11671 12022 12443 13308 14052 13535 15706 16109 14636 13141 12569 11943 11679 11896 11643 11480 12133 12442 12392 12536 12520 12112 12908 13558 13720 14704 15180 15497 15433 15512 15520 15133 14908 15051 14967 14913 15190 14239 13252 13500 12616 12483 12222 12204 12684 12633 12083 11658 11323 11082 11858 11093 11007 10806 11695 10926 11119 11960 13693 13353 11455 10915 11693 12976 11114 11307 11354 11100 11284 11440 11417 11522 11842 11684 12230 12981 13116 14017 13994 14596 15367 15828 16180 14975 14663 14072 13686 13405 12650 12459 12322 12092 12144 11820 11937 11740 12029 11140 11559 12008 11505 11409 11162 11101 11488 10928 11525 10874 10971 11895 12781 12286 13132 12920 12969 11878 11973 11957 11357 11891 12330 11966 12498 12336 12201 10906 None None None
12 CY Cyprus 126 137 155 154 145 157 134 129 143 141 151 119 108 112 122 113 128 118 106 92 95 86 93 103 98 117 81 101 112 116 111 109 93 105 92 121 100 102 97 84 73 95 99 103 88 111 106 123 109 113 124 118 115 113 122 122 125 136 132 136 92 116 89 108 107 118 123 109 90 95 102 99 95 91 80 86 79 125 91 90 104 88 96 100 102 94 85 109 90 101 108 81 91 96 88 98 110 110 108 112 107 111 107 130 151 155 176 151 161 160 175 169 143 139 136 117 149 105 125 97 123 120 104 110 97 112 109 110 85 89 109 112 132 94 101 93 105 84 90 96 81 106 74 113 96 111 104 98 100 94 119 101 101 135 111 119 113 127 120 103 131 139 164 110 151 141 129 106 124 109 124 123 120 120 117 99 90 111 95 90 85 109 93 96 99 106 109 106 95 99 109 121 85 107 108 98 105 101 105 92 113 114 118 98 120 106 117 126 115 133 159 155 158 154 160 141 137 140 130 135 115 125 115 112 125 126 135 101 110 128 138 92 101 116 97 120 134 94 75 104 124 90 114 118 108 112 88 100 113 118 104 100 106 95 118 101 133 119 121 155 116 152 157 160 157 166 149 114 145 143 119 130 139 139 132 111 122 117 121 111 139 185 108 124 92 101 107 114 110 106 116 117 91 101 108 110 95 125 101 103 113 107 107 114 113 117 128 113 137 141 156 156 142 169 170 129 141 166 158 120 142 133 125 123 137 128 138 152 166 149 147 155 113 100 121 119 110 114 112 140 133 142 151 163 175 170 135 150 146 127 133 120 128 120 131 122 114 104 137 164 139 155 145 168 154 185 193 173 210 177 199 185 174 174 146 147 162 187 199 179 151 120 140 119 115 124 118 104 105 119 104 112 114 153 108 148 114 137 100 106 118 105 116 100 115 136 98 104 128 138 125 150 121 149 136 140 145 168 161 165 147 158 149 169 158 187 180 148 138 129 112 123 117 118 134 118 113 114 115 104 127 113 115 114 112 126 140 143 104 118 117 110 115 108 105 131 108 124 114 124 117 112 123 115 119 131 126 135 130 155 161 143 158 160 160 147 129 132 130 129 123 111 115 120 111 110 102 100 127 114 111 97 127 140 116 109 114 131 135 130 114 126 113 128 100 94 118 127 107 97 114 104 118 112 127 109 None
13 LV Latvia 617 608 622 618 624 573 623 596 607 605 600 565 555 565 600 570 580 516 513 547 535 535 521 459 549 523 584 487 525 508 494 523 520 520 470 438 478 505 528 488 514 555 572 550 500 544 520 518 537 523 567 597 581 684 649 634 670 551 557 581 565 608 582 604 577 606 575 566 544 537 520 545 537 527 558 492 503 586 527 464 490 490 474 465 474 524 550 466 494 514 509 522 550 537 593 478 556 538 522 571 534 534 528 610 571 606 616 631 567 630 623 637 695 652 641 567 614 570 602 553 554 534 560 549 543 488 510 551 498 515 484 457 533 516 482 468 460 501 476 508 471 552 535 534 569 528 525 534 543 500 572 560 555 552 578 594 566 567 555 598 606 587 568 589 671 707 699 664 706 687 648 606 582 517 502 554 526 527 537 452 455 491 495 492 534 587 528 592 484 440 483 486 521 466 513 503 545 501 502 514 538 535 521 496 532 572 560 613 589 586 669 669 612 636 619 599 596 572 575 533 557 562 523 552 509 564 455 545 501 533 490 498 488 505 469 483 493 535 492 456 448 484 453 473 456 505 463 562 534 532 511 511 509 486 481 538 548 544 558 563 597 603 591 537 555 560 534 545 543 523 507 549 546 532 571 567 514 554 522 453 587 538 506 505 523 514 560 516 472 526 494 493 501 524 530 473 481 481 487 536 543 508 557 575 559 558 572 600 618 669 711 730 820 763 840 825 795 791 765 709 682 668 603 610 631 586 611 558 596 603 630 609 657 609 572 570 640 526 714 618 589 632 513 552 552 496 553 503 535 605 561 624 654 665 779 925 921 927 895 840 726 682 697 655 669 703 684 680 652 589 669 675 726 670 700 651 692 666 610 601 568 562 559 524 529 534 526 530 524 508 551 599 468 479 500 519 533 502 564 493 486 515 524 538 582 583 584 546 556 528 505 584 586 565 595 676 702 786 710 740 636 591 575 566 614 615 557 535 497 563 489 506 548 589 536 513 508 509 455 489 451 513 531 490 416 427 469 428 472 475 494 445 436 449 478 472 486 485 491 556 562 570 502 560 589 587 632 620 607 584 595 595 626 621 583 566 573 588 537 511 506 535 546 501 503 435 465 484 466 476 459 492 445 434 487 538 433 456 453 445 462 462 447 440 493 467 472 441 433 510 570 527 517 475 None None None
14 LT Lithuania 844 827 905 853 881 873 921 918 922 911 896 909 859 849 867 890 791 783 796 763 802 780 850 740 749 691 827 762 689 723 727 822 753 657 704 697 654 733 726 741 738 859 857 806 739 815 757 761 786 773 786 870 900 845 896 936 906 913 891 836 862 826 820 826 766 824 790 804 793 773 767 757 723 813 843 727 664 760 860 688 675 723 785 690 665 715 760 735 709 653 732 743 760 795 814 810 794 822 802 776 752 752 759 856 873 958 979 970 953 958 923 877 905 828 790 763 765 771 757 761 749 778 742 793 762 771 691 723 703 723 700 668 711 697 741 647 707 680 595 728 688 679 714 723 768 742 773 777 788 732 784 770 721 790 693 781 800 826 788 879 862 911 957 947 965 964 903 858 802 800 856 790 785 701 739 777 726 708 730 622 688 662 648 623 691 733 719 807 736 678 694 623 627 645 658 682 701 729 711 753 706 686 681 727 741 843 773 770 821 842 878 910 982 895 854 800 831 783 783 754 780 678 726 723 709 773 714 691 707 788 708 788 763 660 746 677 671 681 727 611 665 661 680 715 662 635 641 708 714 678 732 661 671 720 657 702 774 681 726 720 748 812 803 787 786 762 764 809 707 807 773 773 804 816 775 803 784 786 769 717 733 715 745 735 820 760 811 689 703 764 757 723 726 746 763 721 673 729 721 784 744 785 836 845 853 877 952 1099 1109 1238 1220 1371 1395 1343 1200 1195 1095 1089 974 984 933 784 873 898 825 832 771 896 842 870 823 881 866 837 817 832 816 804 917 687 825 883 700 752 722 788 804 789 771 866 916 973 1014 1009 1081 1087 1110 1049 1032 973 993 964 965 998 1075 983 956 941 972 917 886 1036 981 947 891 897 891 887 840 814 792 884 802 771 717 737 733 628 757 735 745 884 688 653 692 722 770 689 875 784 670 679 783 708 826 839 784 852 742 699 744 735 801 788 879 930 966 1041 993 914 814 846 757 701 555 760 746 781 746 758 682 703 739 715 682 700 782 703 707 678 664 724 699 619 665 635 655 683 634 628 696 666 633 633 691 676 693 640 708 712 774 793 745 741 823 770 836 832 831 841 869 806 845 854 806 774 826 766 725 729 723 730 692 798 689 686 679 699 669 726 642 743 709 661 663 783 633 658 695 694 657 679 680 683 711 634 675 641 717 706 776 745 747 725 708 None None
15 LU Luxembourg 81 87 80 94 100 100 92 115 88 112 84 73 88 91 75 80 72 61 68 65 62 77 71 65 76 54 87 88 69 57 73 68 71 73 70 73 80 65 70 65 68 66 73 84 74 67 78 61 59 76 83 56 83 75 81 85 83 79 72 85 65 82 91 86 91 82 78 70 71 63 76 68 77 82 72 62 81 71 49 70 80 77 74 64 69 72 69 85 71 73 61 77 69 85 80 71 72 76 82 73 79 81 86 76 93 95 123 107 101 110 92 86 71 67 89 75 89 99 97 63 83 90 74 73 63 72 64 76 86 66 72 71 85 76 83 66 59 67 71 76 75 78 79 88 78 94 80 84 84 77 75 96 70 97 78 85 96 85 100 84 85 96 115 111 112 111 135 85 94 70 75 80 83 64 67 77 75 84 53 89 74 57 77 77 63 69 88 100 95 81 58 72 88 60 60 84 91 90 86 61 83 98 70 89 72 69 85 92 81 98 82 81 83 101 106 112 89 90 83 78 83 92 77 70 78 82 81 66 77 82 80 71 67 63 92 71 86 70 72 72 82 79 65 77 73 78 72 85 83 87 62 83 103 90 102 89 89 87 89 83 95 62 85 92 86 89 90 70 85 74 92 87 87 113 91 116 88 83 69 87 80 77 77 73 70 78 67 70 73 73 71 91 93 99 72 61 86 73 87 75 82 69 87 93 98 113 117 126 134 110 126 105 117 98 102 94 89 109 93 89 92 87 86 114 116 78 77 89 73 82 93 79 63 85 68 64 80 85 69 87 78 85 67 64 75 75 63 72 84 92 72 69 90 95 67 79 113 102 101 89 100 105 90 89 109 122 98 89 82 93 90 96 98 109 91 89 84 84 91 92 86 97 94 73 79 77 63 95 72 87 73 60 85 85 80 94 87 85 89 67 68 74 82 72 83 85 93 90 77 84 81 81 92 96 86 76 92 118 136 103 89 91 75 91 82 81 80 85 96 73 89 91 86 92 72 101 94 82 73 74 71 75 76 67 74 60 72 84 79 71 84 80 77 78 87 63 95 85 99 90 81 100 101 92 76 87 96 96 95 86 90 88 93 84 87 112 90 85 92 113 94 66 87 87 74 97 76 86 66 87 73 72 77 88 65 98 104 81 74 81 76 86 75 60 84 86 87 77 95 80 89 96 90 78 None None None
16 HU Hungary 2800 3005 2900 3005 3067 3350 3280 3349 3120 2962 2777 2764 2690 2639 2612 2612 2598 2467 2420 2293 2274 2177 2434 2298 2067 2141 2383 2491 2358 2625 2020 2378 2747 2002 2282 2220 2192 2379 2147 2192 2332 2463 2437 2418 2425 2315 2440 2389 2385 2418 2406 2514 2519 2823 2640 2562 2615 2483 2640 2575 2491 2535 2496 2438 2481 2537 2456 2318 2349 2364 2279 2370 2381 2261 2285 2235 2151 2481 2303 2102 2276 2210 2277 2221 2120 2222 2241 2320 2246 2365 2263 2423 2447 2538 2493 2527 2458 2471 2483 2539 2540 2635 2585 2845 2897 3155 3311 3449 3574 3616 3256 2991 2890 2668 2671 2582 2584 2546 2422 2492 2527 2480 2479 2340 2323 2209 2382 2126 2145 2297 2136 2143 2288 2271 2140 2657 2292 2147 2155 2239 2186 2290 2312 2351 2428 2496 2357 2338 2397 2324 2423 2503 2437 2655 2580 2605 2628 2595 2546 2675 2655 2731 2833 3037 3161 3237 3218 3016 2878 2774 2622 2576 2336 2300 2294 2160 2154 2352 2393 2228 2243 2188 2140 2225 2285 2265 2389 2479 2419 2199 2323 2254 2267 2356 2385 2362 2498 2512 2432 2409 2361 2362 2408 2555 2559 2644 2677 2797 2860 3054 3090 3037 3234 3384 3263 3034 2888 2909 2713 2733 2469 2411 2414 2393 2327 2442 2316 2283 2208 2283 2196 2288 2623 2217 2247 2242 2065 2292 2471 2170 2215 2218 2235 2373 2199 2154 2241 2494 2442 2382 2394 2355 2297 2443 2359 2301 2357 2561 2526 2538 2495 2612 2585 2584 2723 2802 2637 2751 2585 2781 2606 2578 2801 2592 2528 2575 2509 2359 2249 2292 2346 2110 2191 2399 2288 2068 2269 2317 2169 2110 2153 2362 2311 2268 2224 2203 2221 2333 2472 2457 2562 2563 2758 2989 3185 3551 3963 3950 4067 4169 4089 3733 3752 3485 3222 3204 3044 2867 2884 2888 2926 3172 3271 3809 4301 4568 4534 4139 3532 3251 2970 2724 2552 2392 2334 2410 2375 2370 2678 2389 2362 2424 2110 2505 2190 2351 2204 2167 2272 2408 2470 2373 2426 2534 2665 2668 2975 3332 3530 3673 4030 4151 3965 3657 3448 3356 3132 2900 2858 2934 3136 3172 3190 3012 2888 2759 2863 2763 2777 2740 2535 2608 2610 2438 2380 2238 2175 2337 2326 2073 2319 2736 2272 2181 2641 2516 2346 2392 2575 2343 2220 2339 2271 2503 2770 2585 2623 2522 2582 2507 2521 2560 2617 2647 2849 2803 2882 2994 2796 2652 2648 2496 2674 2698 2854 2832 2714 2759 2775 2713 2590 2464 2513 2432 2322 2371 2228 2310 2276 2201 2190 2168 2327 2074 2149 2385 2215 2142 2004 2029 2378 2446 2137 2175 2239 2173 2101 2325 2534 2504 2587 2490 2418 2463 2599 2660 2827 2871 2988 2830 2778 2689 2788 2675 2740 2811 2569 2554 2527 2365 2486 2354 2409 2411 2300 2149 2249 2267 2199 2247 2270 2183 2214 2048 2305 2183 2203 2602 2884 2162 2193 2195 2647 2310 2293 2299 2087 2410 2495 2598 2408 2440 2541 2429 2367 2429 None
17 MT Malta 85 93 93 72 84 78 93 100 95 75 95 81 76 69 74 65 56 63 54 49 69 54 61 66 50 50 53 58 48 68 65 58 55 47 63 60 61 53 54 47 54 67 63 67 37 60 62 69 68 61 61 74 87 86 69 82 71 73 102 63 57 53 64 60 66 57 68 58 58 54 57 67 61 58 67 54 53 58 43 65 73 50 51 47 57 62 65 54 65 57 67 64 58 68 76 46 60 62 66 70 62 67 78 78 81 103 98 117 107 94 84 77 89 63 78 60 71 74 68 70 69 62 66 67 58 57 65 57 53 49 65 62 42 54 62 77 74 58 59 56 55 58 40 49 55 63 61 52 75 55 78 60 68 76 76 78 92 108 74 86 82 77 85 99 107 90 91 77 76 56 79 63 68 68 73 68 71 72 69 64 75 59 64 62 60 69 65 58 54 59 64 65 55 67 56 61 60 72 51 72 49 74 66 55 69 71 78 59 100 99 87 116 105 102 87 78 88 107 88 72 87 75 75 68 75 64 72 70 63 50 73 53 74 63 72 55 68 50 65 68 72 56 46 62 74 60 53 48 63 47 63 68 51 63 66 75 76 58 57 73 84 73 93 107 88 77 90 72 74 69 70 90 105 81 75 79 93 57 75 72 71 53 68 65 58 62 49 71 66 66 62 70 71 80 83 73 71 64 64 80 84 71 62 67 90 86 97 90 93 108 102 111 114 90 93 85 118 93 90 94 110 109 108 105 94 86 77 66 70 65 59 70 77 75 78 53 59 69 57 94 68 79 64 62 97 97 74 77 70 72 73 50 85 66 54 87 57 72 64 82 82 80 77 88 109 100 97 93 124 121 112 115 103 82 104 100 84 80 81 106 77 85 87 73 72 71 56 63 79 80 68 61 88 76 83 67 67 79 64 55 67 75 77 56 66 75 70 83 73 80 76 77 81 66 81 79 99 86 100 96 84 116 90 87 82 91 90 91 93 68 69 80 66 75 75 80 80 67 58 67 75 61 79 61 77 84 90 133 72 72 73 73 70 70 75 63 51 64 83 61 74 58 73 62 66 64 71 84 85 93 102 95 114 96 89 93 88 80 72 78 66 92 80 95 86 70 68 64 76 74 80 78 68 77 64 59 75 69 71 85 85 82 73 83 98 90 71 79 74 74 67 41 None None None None None
18 NL Netherlands 3255 3429 3377 3353 3322 3272 3311 3381 3207 3222 3086 3052 3084 2839 2888 2893 2829 2674 2741 2721 2566 2660 2595 2680 2559 2547 2848 2587 2567 2548 2490 2544 2529 2519 2527 2510 2599 2633 2683 2742 2690 2712 2832 2824 2692 2599 2806 2721 2759 2844 2881 2592 2911 3178 3075 3062 3201 3103 3036 3027 3319 3185 3151 3062 3028 3037 3010 2767 2751 2742 2754 2952 2671 2713 2682 2587 2620 2597 2609 2693 2627 2753 2542 2500 2558 2568 2701 2591 2584 2725 2500 2665 2683 2934 2744 2948 2731 2912 2902 2908 2949 3042 3129 3072 3329 3568 3637 3487 3626 3574 3446 3417 3328 3152 3054 2843 2778 2850 2764 2810 2713 2778 2769 2802 2801 2772 2701 2624 2643 2627 2691 2697 2520 2674 2571 2510 2657 2540 2545 2576 2570 2707 2715 2669 2641 2763 2706 2676 2726 2797 2916 2917 2886 3027 3218 3079 3187 3343 3359 3364 3322 3403 3513 3660 3691 3937 4092 3733 3430 3225 3040 2860 2760 2663 2645 2641 2606 2674 2776 2679 2557 2601 2619 2726 2671 2704 2767 2760 2745 2605 2612 2527 2613 2539 2706 2696 2806 2760 2739 2671 2815 2798 2761 2859 2907 2968 3017 3041 2901 3062 3262 3152 3179 3139 3183 3254 3220 3065 3172 3225 3043 3013 2898 2902 3036 2956 2806 2772 2821 2873 2730 2734 2647 2692 2836 2725 2761 2586 3006 2731 2629 2613 2617 2783 2553 2642 2580 2751 2717 2912 2879 2867 2856 3015 3060 3023 3045 3018 3161 3253 3028 3103 3364 3157 3046 3164 3196 3198 2959 3098 3107 3218 3614 4458 5085 4982 4308 3910 3383 2989 2777 2770 2732 2682 2689 2696 2659 2638 2619 2528 2673 2666 2642 3209 2856 2735 2692 2742 2721 2891 3002 3022 3222 3448 3687 3589 3580 3335 3405 3530 3615 3909 3867 4110 4145 3850 3863 3714 3655 3551 3531 3205 3105 3244 3044 3046 3176 3165 3140 3144 3121 3008 3017 2990 2805 3010 2884 2870 2673 2792 2837 2873 2776 2916 2958 2841 2898 2927 2860 3093 2919 2890 3072 3072 3064 3275 3388 3518 3788 4005 4192 4395 4373 4053 3772 3681 3433 3157 3192 3200 3285 3256 3381 3352 3234 3388 3606 3631 3564 3574 3517 3235 3141 3130 3128 3058 2924 2965 2946 3012 3136 3102 2973 3087 3184 3136 2962 2986 3081 3041 2975 2937 2819 3016 3207 3308 3315 3371 3312 3235 3171 3212 3413 3433 3620 4001 4198 3619 4035 3873 3680 3443 3623 3451 3549 3446 3509 3787 3676 3574 3381 3272 3065 3232 2904 3019 3000 2915 2973 2883 3091 3207 3021 2903 2785 2948 2778 2934 2784 2896 2923 2898 2862 2964 2918 3004 3083 3115 3098 3133 3410 3464 3516 3415 3299 3545 3590 3617 3889 3435 3708 3639 3838 3901 4022 3802 3603 3436 3534 3558 3410 3369 3452 3403 3419 3234 3321 3237 3030 3192 3124 2981 2979 3052 3142 3107 3048 3133 3018 2948 3006 2955 3052 3003 2983 3115 2936 3097 3154 3168 3330 3311 3162 None None None None
19 AT Austria 1704 1768 1837 1792 1837 1926 1992 2020 1883 1846 1763 1696 1725 1604 1563 1614 1547 1453 1452 1461 1396 1304 1437 1502 1285 1374 1487 1476 1475 1633 1446 1500 1692 1376 1476 1389 1447 1459 1410 1494 1409 1481 1498 1433 1460 1527 1486 1488 1509 1517 1538 1545 1537 1634 1626 1608 1578 1609 1650 1621 1581 1714 1532 1516 1499 1598 1562 1520 1413 1460 1447 1486 1453 1505 1402 1360 1348 1452 1338 1328 1323 1458 1424 1390 1359 1394 1408 1414 1380 1392 1376 1442 1469 1556 1607 1522 1484 1541 1616 1550 1601 1619 1670 1847 2160 2293 2340 2060 1938 2045 1874 1750 1807 1696 1614 1542 1535 1489 1537 1532 1475 1440 1527 1434 1501 1327 1456 1312 1421 1476 1419 1413 1346 1475 1375 1616 1334 1380 1472 1329 1318 1426 1407 1496 1481 1529 1453 1489 1551 1490 1505 1570 1531 1632 1554 1653 1646 1767 1842 1786 1714 1870 1938 1881 1951 2021 1965 1946 1641 1766 1617 1560 1557 1383 1434 1372 1342 1383 1415 1433 1392 1401 1414 1441 1404 1511 1455 1615 1532 1430 1460 1414 1376 1452 1421 1436 1553 1509 1488 1491 1561 1501 1556 1531 1525 1656 1626 1639 1689 1648 1710 1642 1714 1733 1797 1820 1752 1767 1812 1792 1621 1653 1607 1557 1559 1521 1464 1456 1558 1499 1496 1525 1558 1427 1459 1508 1338 1430 1558 1459 1406 1408 1454 1501 1426 1410 1454 1577 1557 1592 1497 1545 1536 1556 1559 1556 1587 1599 1668 1592 1637 1607 1691 1791 1773 1941 1675 1714 1718 1761 1734 1714 1828 1756 1821 1794 1691 1580 1472 1516 1480 1477 1410 1483 1457 1406 1433 1554 1378 1439 1445 1522 1427 1603 1467 1488 1518 1562 1560 1531 1573 1620 1612 1772 1886 2004 2283 2401 2428 2544 2478 2255 2123 2000 1953 1954 2003 1940 1860 1743 1715 1661 1579 1747 1691 1649 1769 1662 1694 1689 1691 1657 1601 1520 1486 1602 1557 1598 1652 1504 1469 1454 1574 1530 1455 1621 1621 1567 1542 1627 1580 1577 1675 1600 1632 1721 1887 1943 2052 2111 2152 2201 2120 1930 1856 1864 1756 1679 1816 1766 1792 1858 1916 1847 1957 1848 1918 2000 1953 1964 1813 1655 1687 1650 1574 1601 1531 1578 1589 1629 1652 1655 1597 1561 1847 1732 1661 1560 1685 1550 1454 1544 1589 1652 1727 1870 1764 1766 1829 1718 1733 1780 1744 1872 1901 2175 2284 2298 2355 2115 1838 1772 1766 1673 1765 1858 1846 1843 1808 1750 1690 1686 1670 1726 1638 1586 1612 1524 1534 1521 1476 1526 1571 1400 1512 1536 1532 1446 1423 1538 1542 1603 1407 1521 1580 1497 1493 1563 1622 1649 1753 1722 1749 1806 1814 1969 1869 1963 2064 1946 1945 1930 1907 1920 1890 1987 1851 1803 1763 1661 1610 1550 1644 1570 1580 1495 1542 1584 1441 1547 1567 1495 1548 1478 1534 1534 1469 1651 1575 1583 1589 1461 1685 1625 1526 1611 1613 1593 1678 1723 1826 1741 1674 1727 1657 None None
20 PL Poland 7984 7754 7800 7559 7963 8166 8873 8985 9068 8839 8850 8640 8535 8449 8154 7974 7797 7483 7324 7266 7102 7015 7387 7076 6737 6781 7360 7029 6858 7016 6554 7753 7574 6698 6924 6922 6664 7130 6831 7163 7206 7868 7571 7348 7423 7505 7442 7409 7588 7563 7472 7604 7816 8215 7920 7683 7977 7970 8145 7928 7861 8002 7859 7824 8014 8025 7614 7510 7107 7157 7399 7229 6925 7254 6937 6611 6790 7563 6864 6599 6873 6661 7267 6658 6715 6804 7039 6996 6981 6744 6765 7351 7368 7456 7658 7499 7646 7492 7554 7706 7753 7977 7837 8297 8874 9279 10225 9875 9946 10076 9432 9221 9053 8388 7967 7709 7637 7684 7366 7441 7475 7466 7385 7060 7148 7074 7100 6892 6830 7255 7023 6703 6814 7190 6997 7559 6902 6858 6596 6973 6978 7192 7257 7516 8025 7798 7616 7545 7594 7352 7504 7784 7573 7802 7948 8011 8439 8372 8078 8639 8793 8987 9088 9128 9333 9864 10094 9472 9061 8689 8571 8216 7748 7584 7373 7311 7061 7309 7695 7177 7035 7068 7002 7353 7160 7178 7674 8007 7305 6850 6877 6934 7189 7142 7474 7398 7848 7567 7539 7754 7765 7614 7590 7709 7927 8094 7917 8162 8537 8668 8586 8700 8798 9362 9269 9241 8717 8620 8388 8183 8025 7795 7783 7699 7730 8082 7485 7502 7435 7586 7445 7966 8240 7183 7352 7074 7113 7439 7660 7268 7186 6955 7040 7845 6957 6970 7391 7985 7689 7819 7803 7628 7637 7602 7551 7527 7677 7919 7942 8158 7949 8463 8242 8059 8015 8560 8343 8624 8474 8471 8364 8410 8322 8148 7991 7996 8184 7743 7757 7581 7558 7546 7632 7808 7740 7395 7375 7657 7309 7505 7569 7787 7952 8071 7947 7443 7557 7704 8231 8219 8413 9187 10231 12364 14743 16244 15633 14828 13627 12982 12018 11679 12128 11775 11478 10974 11022 10397 9880 9927 10117 9894 10155 10835 11565 12605 13833 13797 12791 11996 11074 10084 9678 8679 8233 8157 8137 8347 8359 7543 7657 7883 7352 7825 7392 7579 7410 7404 7405 8078 7830 8087 8144 8478 8540 8856 9490 9921 10771 12040 12725 13386 13785 13831 13733 13541 12003 10782 10000 10158 10554 10689 10399 9820 9213 9161 8780 8884 8898 8576 8433 8732 8289 8208 7901 7584 7472 7584 7740 7464 7765 8205 7067 7231 7990 7650 7781 7726 8457 7731 7318 7735 8082 8295 8851 8502 8565 8264 8060 7652 7626 7835 8078 8136 8633 9315 10183 10996 10395 9537 8618 8287 8263 8259 8105 8234 8266 8390 8339 8204 7966 7787 7695 7742 7618 7477 7368 7441 7484 7275 7568 7108 7453 6952 6817 7281 6814 7198 6917 6805 7778 7275 6693 7084 7075 7182 7196 7354 7731 7880 7979 8073 7958 7958 8446 8764 8855 8935 9117 8905 8767 8889 8684 8770 8658 8714 8357 8092 8040 7722 7726 7541 7601 7714 7601 7152 7373 7637 7132 7452 7361 7324 7008 6906 7349 7654 7051 7437 7254 7203 6985 7220 7615 7483 7441 7456 7297 7370 7821 8051 8068 8000 8091 7663 7627 7631 7763
21 PT Portugal 2813 3054 3167 3088 2909 2869 2977 2684 2699 2447 2314 2284 2083 2179 1933 1937 1816 1819 1941 1911 1791 1950 1847 1799 1845 1727 1697 1805 1790 1751 1792 1811 1738 1787 1722 1803 1821 1699 1856 1914 1792 1809 1882 1883 1970 1854 1912 2040 2088 2002 2131 2102 2331 2321 2332 2456 2332 2271 2351 2345 2296 2391 2380 2288 2271 2214 2225 2166 1989 2025 1954 1849 2045 1971 1983 1906 1799 1916 1893 1913 1934 1958 2054 1864 2091 1879 1914 1873 1864 1707 1835 1852 1856 1879 2026 1971 1939 2040 2127 2197 2388 2363 2526 2809 3200 3366 2967 2880 2995 2736 2453 2369 2237 2129 2149 2151 2074 2015 2071 2033 1825 1902 2011 1846 1833 1922 1815 1826 1969 2139 1784 1796 1806 1790 1799 1759 1739 1781 1960 1711 1783 1801 1793 1945 1983 1877 2004 1932 1918 1910 2161 2168 2193 2465 2455 2510 2747 2851 2803 2805 2693 2619 2783 2815 2777 2656 2387 2371 2234 2356 2354 2276 2197 2117 2012 1970 2066 1982 1883 1977 1928 2104 1936 1765 1771 1816 1824 2250 2199 1939 1960 1766 1837 1796 1867 1828 1890 1935 1943 1996 2043 2124 2093 2071 2132 2150 2129 2249 2367 2621 2884 2985 3021 2899 2779 2711 2546 2441 2329 2258 2199 2135 2097 2132 2096 2084 2081 1988 1931 1919 1948 1841 1873 1916 1919 1882 1898 1821 1841 1843 1838 1769 1938 1880 1933 1808 1899 1822 1901 1860 1909 2131 2134 2097 2148 2233 2241 2128 2290 2284 2313 2500 2657 2763 2662 2682 2478 2277 2356 2302 2177 2348 2431 2541 2650 2604 2387 2309 2170 2169 2054 2068 2331 2017 1869 1936 2118 2058 2231 2647 2435 2213 2078 1937 2004 2073 2053 2228 2122 1890 2139 2150 2203 2220 2468 2554 2732 2705 2695 2846 3019 2920 2793 3158 3830 4614 5039 4811 3967 3389 2860 2531 2350 2137 2107 2054 2128 1994 1964 1913 1892 2041 1906 1836 1989 1878 1942 1982 1849 1946 1946 2051 1952 1975 2055 2082 2119 2080 2070 1988 1913 2026 1999 2121 2131 2038 2174 2130 2416 2462 2552 2725 2615 2491 2586 2529 2454 2547 2790 2786 2869 2694 2694 2465 2386 2435 2416 2453 2460 2405 2428 2303 2282 2204 2444 2345 2322 2380 2492 2669 2161 2140 2341 2732 2354 2296 2175 2084 2044 2037 2043 2036 2080 2103 1909 2126 2129 2094 2189 2225 2332 2341 2506 2653 2823 2912 2718 2701 2736 2596 2704 2631 2832 2852 2693 2528 2569 2540 2338 2211 2213 2139 2075 2141 2220 2126 1935 2089 2101 2099 2093 2012 2069 2007 1935 1969 1954 1966 2056 2210 2076 2292 2055 2054 2049 2045 2099 2070 2094 2027 2112 2116 2308 2192 2177 2312 2500 2536 2738 3382 3543 3252 2990 2603 2393 2335 2038 2190 2236 2409 2463 2394 2266 2377 2200 2215 2082 2138 2175 2076 2199 2237 2253 2122 2161 2055 2122 2144 2015 2269 2218 2074 2045 2065 1992 1850 2026 2138 1872 2105 None None None None None None None
22 RO Romania 5803 5848 5602 5508 5560 5688 5815 6281 6139 5909 5824 5844 5865 5432 5425 5571 5282 5053 4822 4667 4769 4306 4913 4682 4410 4283 4434 4604 4416 4997 4551 4439 4503 4127 4413 4554 4040 4574 4313 4342 4598 4917 4962 4984 5129 5188 5074 4926 5043 4991 5179 5249 5361 5770 5345 5389 5514 5427 5203 5264 5186 5114 4903 5115 5090 5225 5224 4758 4860 4700 4918 4854 4646 4821 4734 4399 4819 5692 4683 4194 4501 4237 4577 4688 4159 4410 4296 4250 4471 4497 4234 4674 4768 5103 5187 5033 5092 4963 5097 5088 5126 5297 5356 5829 6253 6940 6977 6482 6304 6066 5725 5721 5593 5398 5133 5079 5034 4955 4876 5030 5223 4892 4939 4665 4534 4447 4628 4709 4434 4647 5117 4381 4382 4529 4403 5085 4885 4355 4271 4405 4301 4494 4301 4366 4981 4942 4952 4895 5061 4987 4999 4991 5014 5027 5249 5176 5237 5333 5201 5500 5490 5808 5668 5838 5859 6111 6152 5734 5427 5465 5300 5236 4774 4868 4675 4540 4637 4676 4861 4656 4658 4403 4194 4591 4699 4502 4505 4708 4689 4694 4542 4408 4349 4454 4520 4643 5194 5048 5318 5145 5140 4963 5082 5364 5291 5457 5461 5623 5768 5802 6152 6276 6279 6236 5752 5522 5369 5531 5517 5461 5380 4935 5207 5109 4796 4876 5045 4715 4812 4786 4653 4684 4959 4945 4697 4861 4359 4455 4747 4498 4455 4506 4666 4543 4251 4346 4354 4733 4868 4794 4806 4752 4797 4953 4669 4727 4995 5073 5303 5077 5151 5346 5376 5419 5350 5432 5433 5385 5211 5341 5182 5097 5032 5180 5190 5237 5126 5092 4861 4817 4870 4560 4559 4910 5079 4677 4827 5288 4900 4727 4951 5560 5318 5272 5169 5219 5074 5024 5067 5050 5382 5796 6215 6512 7010 7754 7992 8372 8515 8602 8172 7425 7425 7047 6788 6531 6986 6339 6287 5952 5971 5967 6247 6410 6864 7142 7225 7193 7152 6782 6496 5891 5605 5303 4974 4847 4876 4662 5527 4818 4686 4948 4639 5007 4863 4511 4681 4600 4686 5337 5977 6364 7471 9448 10830 11641 11351 10808 8909 7957 6989 6273 5956 5754 5885 5748 5868 5843 6057 6623 7409 7746 7689 6934 6391 6104 5679 5643 5862 5345 5282 4965 5047 4729 4841 4611 4394 4551 4334 4281 4451 4718 4504 4299 4775 5196 5085 4935 5146 5012 4670 4500 4425 4595 4868 4681 4755 4876 4699 4661 4587 4945 4829 4689 5113 4981 5161 4805 5802 5698 5527 5103 5151 5083 5223 4981 4823 4965 4801 4866 4719 4710 4710 4815 4528 4706 4557 4666 4473 4122 4373 4170 4519 3972 4163 4335 4688 4042 4127 3962 4499 4623 4393 4001 4160 4281 4191 4399 4633 4701 4713 4587 4595 4478 4735 4741 4613 4759 4808 4089 5630 5609 5677 5614 5401 5557 4988 4832 4589 4675 4528 4445 4470 4444 4333 4196 4197 4296 4128 3716 3349 3004 2705 2497 2432 2143 2048 2336 2829 2058 3745 4299 4879 4745 4409 4232 4146 4124 4503 4418 4401 4425 4629 None None None None
23 SI Slovenia 408 407 453 449 432 420 459 446 449 384 453 417 460 444 423 420 388 387 362 327 318 333 364 325 323 310 384 377 381 393 332 333 373 337 337 315 309 360 315 341 391 354 382 408 379 376 358 378 370 433 359 347 401 451 439 411 457 434 426 421 406 427 416 411 388 441 373 339 399 351 367 358 346 355 334 347 348 335 334 347 370 312 342 319 326 355 343 373 332 363 358 355 369 390 375 395 341 374 381 366 357 394 347 413 466 479 536 586 569 599 523 466 459 439 369 397 418 413 357 348 385 371 355 358 360 347 371 348 342 348 334 369 328 354 328 347 319 354 350 380 339 340 364 374 398 370 376 350 385 380 393 391 362 399 390 397 422 401 411 398 425 457 419 490 476 512 465 479 443 431 421 390 390 400 345 367 348 353 366 360 338 354 317 322 318 374 364 399 390 337 381 365 358 391 382 342 390 371 371 417 393 348 392 384 406 407 422 427 421 469 488 481 477 515 507 474 480 471 411 457 426 381 412 344 402 388 367 358 393 395 344 313 345 367 331 349 327 351 407 364 380 345 385 340 333 388 342 366 379 387 383 369 333 385 404 362 359 436 444 437 396 420 426 430 455 476 449 502 441 431 425 437 443 390 383 424 433 392 356 381 354 405 330 345 377 374 408 371 328 352 369 393 370 392 353 341 370 393 421 354 412 415 441 514 595 624 739 731 792 801 784 717 686 660 606 624 591 530 526 435 428 470 442 444 444 424 442 406 421 458 383 390 401 408 390 414 389 396 381 383 342 339 332 375 330 353 327 334 400 418 405 423 432 412 453 471 467 546 585 587 542 589 528 500 479 494 473 494 463 483 592 544 562 467 488 477 461 432 435 430 430 441 412 384 395 392 368 381 367 370 374 413 382 380 459 380 418 433 404 383 330 355 393 356 410 416 410 391 394 408 384 445 458 438 479 494 566 547 539 505 525 421 471 417 468 457 427 410 405 446 389 391 374 407 381 394 399 360 405 373 357 373 411 382 368 430 357 377 360 370 379 390 343 343 355 399 368 385 401 435 429 417 399 426 453 420 487 498 492 504 475 457 497 487 469 552 503 449 433 421 412 395 397 383 401 376 392 356 393 366 337 347 403 343 368 362 367 408 397 397 388 415 373 323 427 360 370 428 437 406 423 420 426 378 410 421 None
24 SK Slovakia 1112 1187 1210 1235 1292 1226 1275 1266 1235 1164 1186 1102 1088 1037 1090 1078 1062 980 958 915 975 926 1017 1004 910 911 1007 1006 920 1131 861 1025 1120 923 934 928 909 1004 947 904 924 975 937 1031 1008 970 956 929 948 952 1002 1021 1034 1072 948 1026 982 1045 1041 1051 1023 1003 1009 1032 1026 999 1017 971 1010 988 1019 988 934 1004 984 885 898 1056 899 909 958 937 933 904 874 937 909 934 954 1000 948 1003 1029 992 1071 1064 1028 1017 1063 1082 1067 984 1067 1200 1311 1411 1410 1390 1355 1339 1202 1224 1115 1159 1002 1016 1092 1017 989 1024 1008 1023 955 919 925 916 949 858 918 923 977 915 900 969 948 1064 990 958 918 931 953 951 977 1023 1039 1036 1004 919 984 990 998 997 1015 971 1003 1051 1082 1094 1150 1198 1095 1205 1159 1140 1292 1353 1357 1165 1111 1128 1051 1070 944 906 963 952 1004 986 985 922 955 891 922 946 970 969 1080 1110 991 931 961 940 999 952 1019 1007 995 1022 982 1043 955 1030 994 1021 1036 1009 1034 1129 1014 1105 1094 1176 1135 1224 1339 1252 1254 1208 1200 1110 1068 1025 986 1073 984 1065 979 955 943 922 924 929 1086 996 924 910 876 947 1025 941 941 858 963 1032 894 936 943 976 980 943 1020 941 1001 989 1003 986 994 969 1002 1053 1036 1147 1109 1086 1107 1159 1101 1181 1088 1152 1131 1122 1187 1054 1081 1003 957 977 970 1005 979 953 913 963 981 899 937 982 973 948 957 985 1065 963 960 1023 969 1034 963 1042 1135 1071 1204 1276 1362 1437 1411 1371 1425 1458 1553 1616 1793 2047 2089 2125 1995 1971 1987 2081 2009 1963 1869 1784 1677 1584 1467 1333 1309 1253 1166 1133 1126 999 962 1001 1000 1048 1090 968 988 999 896 1027 953 974 1011 893 996 1041 1142 1154 1103 1214 1202 1309 1450 1505 1675 1854 1923 1922 1897 1758 1596 1493 1412 1270 1221 1174 1254 1220 1365 1314 1395 1365 1363 1300 1266 1206 1087 1104 1119 1070 1017 976 966 1062 1018 932 1057 1105 971 994 1171 1087 1066 1075 1116 1082 984 1017 963 1056 1142 1120 1105 1109 1130 1121 1037 1058 1132 1022 1137 1269 1398 1359 1274 1181 1153 1059 1077 1067 1035 1089 1104 1130 1138 1118 1062 975 1059 994 1010 937 933 870 1027 913 946 967 1018 941 959 999 951 924 925 870 996 1058 936 967 983 949 953 931 1037 1066 1091 1036 1025 1048 1117 1195 1182 1185 1247 1246 1178 1170 1196 1214 1212 1171 1121 1051 998 1018 976 1012 942 967 897 875 937 990 907 991 995 945 961 895 984 973 962 1072 1024 934 938 969 1130 1012 1075 1013 970 1013 1042 1080 1077 1087 1073 995 998 956 953
25 FI Finland 1083 1158 1151 1040 1062 1061 1094 1073 1126 1134 1046 1015 1013 1070 1075 1039 1074 1021 1009 927 939 947 908 928 987 923 1016 885 903 902 883 875 954 948 959 916 966 978 938 956 981 1015 1045 970 964 983 959 998 1083 1058 1019 1101 1112 1184 1192 1249 1185 1183 1167 1047 1049 1075 1023 1041 1097 1103 980 1010 1062 971 977 949 963 1026 979 913 947 941 998 875 939 952 955 901 920 945 1009 993 991 920 1017 985 986 1076 993 1023 1041 1069 1004 1103 1040 1037 1072 1179 1315 1273 1334 1209 1146 1116 1105 1122 1122 1082 1048 1021 1063 980 1059 998 1055 1002 1078 1047 1000 991 981 1012 1021 991 990 931 921 926 939 925 954 945 901 952 1001 1042 938 970 1032 963 1028 1023 1031 981 969 995 985 1014 1050 1101 1107 1072 1091 1082 1130 1186 1110 1143 1173 1248 1223 1251 1216 1154 1243 1096 1110 1027 1023 980 973 910 926 946 922 954 948 958 984 1059 1046 1062 918 984 943 947 941 905 996 1016 1060 1006 980 997 1022 1028 982 994 1044 1062 1066 1038 1195 1214 1125 1171 1134 1141 1170 1089 1058 1069 1084 1154 1047 1071 1032 1058 1023 1000 1090 971 992 926 919 1049 933 962 895 947 982 962 1021 921 958 922 990 966 985 990 1005 1043 1046 1086 1048 1081 1098 996 1011 966 1016 1092 1044 1093 1068 1047 1069 1061 1040 1074 1115 1098 1091 1050 1106 1105 1122 1108 1110 1181 1094 1142 1131 1074 1104 957 990 984 1003 1068 1021 996 944 1021 964 982 954 977 1016 989 979 1124 1046 1089 977 984 1074 1070 1132 1043 1025 1119 1108 1119 1106 1148 1129 1177 1104 1130 1204 1159 1103 1056 1160 1133 1091 1050 1090 1021 1053 1056 1033 1055 1009 1068 1116 1009 996 1013 981 1009 1080 1009 1092 1148 1015 1028 1063 1100 1081 1066 1079 1148 1064 1121 1134 1138 1187 1200 1129 1088 1161 1193 1229 1231 1300 1225 1236 1334 1278 1283 1403 1245 1314 1354 1265 1167 1245 1263 1243 1233 1275 1309 1277 1241 1230 1210 1160 1112 1081 1070 1021 1041 1066 1143 1090 1002 1110 1097 1114 1183 1190 1097 1060 1193 1232 1146 1173 1211 1232 1245 1251 1259 1236 1239 1278 1204 1361 1405 1445 209 1367 1332 1242 1195 1195 1153 1149 1153 1104 1085 1106 1072 1150 1194 1159 1226 1136 1139 1141 1105 1120 1092 1107 1155 1049 1093 986 1040 1048 952 1027 1063 1012 1049 1006 1117 1106 1123 1119 1159 1208 1220 1266 1414 1440 1355 1483 1430 1397 1376 1414 1301 1342 1350 1245 1184 1197 1171 1135 1132 1119 1135 1112 1053 1069 1079 1126 1050 1073 1103 1004 1018 1048 1020 992 1020 1001 1058 1005 994 1063 1082 1029 1010 1103 1045 1111 1076 1096 1093 1196 1086 1142 1134 1077 1056 1019 None None
26 SE Sweden 1927 1966 1935 1946 1975 1868 2001 2107 2076 2041 1932 1874 1930 1834 1849 1844 1764 1656 1661 1668 1670 1627 1617 1609 1592 1525 1674 1560 1529 1538 1588 1524 1535 1563 1458 1648 1552 1566 1633 1651 1528 1574 1698 1658 1652 1710 1678 1691 1805 1669 1753 1737 1914 1860 1914 1958 2006 1909 1837 1838 1845 1861 1810 1800 1795 1778 1705 1773 1771 1604 1619 1586 1565 1550 1541 1462 1541 1573 1541 1549 1605 1616 1630 1574 1574 1567 1567 1686 1556 1536 1531 1601 1598 1662 1750 1626 1718 1717 1771 1702 1790 1842 1858 1868 2012 2149 2122 2060 1910 1883 1881 2010 2069 1989 1830 1849 1692 1782 1794 1719 1768 1772 1696 1724 1584 1646 1620 1549 1590 1491 1587 1549 1525 1512 1484 1536 1552 1545 1527 1568 1596 1590 1562 1532 1708 1695 1648 1644 1757 1608 1753 1700 1740 1765 1797 1815 1929 1998 1941 1945 1928 1854 1983 2024 2116 2187 2204 2089 1997 1948 1988 1782 1687 1639 1661 1572 1486 1460 1481 1513 1441 1500 1633 1588 1585 1724 1642 1723 1450 1505 1495 1584 1617 1516 1645 1553 1606 1715 1542 1660 1706 1640 1541 1534 1780 1787 1720 1741 1758 1943 1820 1839 1828 1812 1882 1764 1820 1772 1690 1829 1632 1665 1698 1612 1736 1698 1613 1643 1557 1486 1541 1544 1444 1526 1512 1537 1558 1482 1514 1491 1548 1486 1542 1642 1441 1559 1540 1648 1638 1654 1622 1724 1638 1698 1674 1712 1688 1731 1719 1826 1718 1822 1891 1831 1730 1848 1728 1824 1777 1778 1826 1730 1865 2040 2383 2569 2525 2269 2239 2182 1989 1918 1656 1751 1721 1670 1674 1565 1571 1513 1540 1547 1571 1517 1578 1486 1517 1527 1513 1563 1547 1543 1612 1570 1691 1673 1868 1989 1959 2148 2117 2299 2316 2374 2306 2289 2243 2066 1851 1859 1834 1804 1656 1803 1681 1714 1668 1703 1657 1688 1616 1675 1657 1546 1510 1509 1508 1467 1490 1485 1533 1557 1514 1588 1477 1584 1540 1557 1568 1604 1650 1621 1664 1599 1638 1679 1674 1773 1716 1726 1679 1761 1873 1850 1881 1975 2030 1997 1947 2024 2129 1953 2027 1932 1892 1751 1741 1709 1703 1740 1605 1597 1590 1628 1605 1651 1531 1558 1522 1559 1609 1631 1601 1489 1658 1626 1658 1711 1701 1611 1519 1578 1695 1697 1733 1725 1666 1611 1635 1597 1665 1732 1809 1771 1938 2187 2302 2305 2372 2136 1997 1842 1803 1758 1733 1735 1795 1813 1762 1705 1722 1707 1748 1780 1744 1643 1569 1624 1522 1556 1598 1558 1569 1493 1521 1477 1481 1552 1494 1525 1538 1544 1477 1690 1538 1608 1559 1608 1795 1746 1806 1941 1863 1948 2038 2015 1965 2105 2163 2076 2034 2020 1954 1862 1806 1760 1780 1749 1720 1670 1678 1683 1630 1664 1643 1565 1704 1572 1511 1557 1540 1548 1429 1556 1578 1621 1509 1567 1508 1641 1580 1588 1605 1606 1583 1606 1554 1615 1647 1653 1756 1731 1668 1704 1686 1687 None
27 IS Iceland 49 42 44 48 44 57 50 47 47 41 46 45 42 41 39 47 41 41 37 53 50 39 37 41 32 32 42 35 33 56 42 32 49 46 25 48 38 38 45 32 27 39 52 38 30 45 43 53 35 40 45 33 50 44 56 51 35 46 45 39 40 39 51 44 42 43 48 47 53 49 37 39 34 40 45 45 40 33 48 46 41 54 43 33 43 44 37 42 37 51 57 55 47 41 50 48 40 48 49 38 30 43 48 52 45 35 53 46 53 48 55 56 46 35 40 42 48 48 35 43 51 38 46 45 41 41 41 44 40 47 43 47 35 46 40 31 38 40 44 40 36 45 36 47 35 45 47 38 39 37 51 47 47 43 36 44 37 62 47 41 50 47 46 44 57 50 43 37 36 55 55 51 45 41 32 43 38 51 50 54 35 36 52 40 38 33 30 41 45 25 38 37 41 46 33 50 42 51 37 54 40 39 45 42 32 43 42 42 46 39 41 40 37 43 36 47 41 47 47 57 37 48 38 42 47 53 45 44 46 36 38 45 42 39 61 40 42 30 56 33 36 37 53 36 34 33 46 53 56 48 38 38 50 38 45 51 58 45 46 36 49 57 55 52 55 39 47 49 48 43 50 42 39 43 50 50 60 35 44 37 42 50 50 34 40 31 35 35 46 42 35 36 37 43 34 28 55 41 45 37 38 53 47 50 56 50 53 45 35 39 46 43 53 46 45 57 48 42 42 46 55 46 46 40 42 37 52 40 54 45 47 54 41 42 35 38 45 52 44 45 43 47 38 56 47 47 44 45 36 43 43 32 35 42 43 31 39 50 58 41 43 43 45 61 50 56 51 54 64 42 50 49 55 70 78 72 67 58 67 56 49 47 49 51 46 46 46 42 44 57 47 50 65 55 51 56 42 51 40 43 35 50 42 54 48 50 48 37 42 39 57 52 52 36 53 49 74 62 67 55 56 62 45 60 50 48 50 43 55 39 48 41 44 34 56 35 42 50 51 41 36 49 53 54 53 39 48 51 50 44 44 39 47 64 52 42 45 51 38 61 64 58 46 54 44 50 55 50 51 61 66 59 61 51 47 48 41 53 47 50 49 60 63 43 53 47 46 48 58 43 54 36 51 53 51 40 45 51 36 48 41 58 30 63 50 49 43 35 67 48 59 48 49 63 None None None
28 LI Liechtenstein 12 4 4 4 6 5 6 4 6 12 7 5 5 5 2 2 5 5 4 3 3 3 8 4 4 3 4 5 3 7 9 4 3 5 5 5 6 4 6 7 5 6 1 6 6 7 2 4 4 4 2 2 5 11 4 11 5 3 5 3 7 5 5 6 6 2 4 6 7 3 5 6 3 4 9 2 3 2 3 0 10 8 6 7 4 5 3 11 6 2 6 4 9 5 6 4 4 4 5 2 8 4 10 5 2 7 4 5 8 5 3 5 1 7 5 9 4 5 5 2 2 5 6 2 7 2 4 3 4 9 7 2 4 2 4 4 4 3 6 2 3 3 3 6 7 8 7 5 4 6 2 6 2 9 4 7 9 4 4 10 6 3 6 4 7 4 10 6 12 6 7 5 5 3 7 1 5 2 6 4 2 7 7 2 5 5 8 6 6 4 8 6 5 6 3 6 6 2 3 1 7 3 7 7 6 5 6 5 2 4 3 2 5 4 5 7 8 5 3 6 6 4 3 7 9 6 5 2 7 8 1 7 7 1 5 8 5 5 0 7 7 6 3 2 4 3 8 4 3 6 5 5 5 5 9 8 6 1 8 5 2 3 3 5 8 1 8 10 6 5 6 3 5 7 7 6 1 5 7 6 7 2 4 4 4 4 2 9 2 5 3 5 7 4 6 5 10 2 6 7 5 8 2 7 8 8 8 10 11 9 8 11 16 14 9 5 7 4 7 5 6 5 5 2 6 2 5 6 5 8 9 5 6 4 5 4 2 4 1 4 9 5 6 4 3 5 4 6 6 4 4 2 8 2 1 9 3 6 3 6 7 8 5 6 6 8 9 8 5 9 7 8 7 7 4 10 8 6 2 3 6 5 5 5 2 6 5 1 5 4 6 7 7 5 5 7 8 1 3 4 5 4 6 8 2 2 2 5 6 6 5 8 5 3 2 3 8 9 5 7 9 7 3 5 10 4 1 3 8 10 7 5 4 3 7 6 9 1 3 6 6 2 4 7 1 1 3 4 3 7 6 4 4 8 3 3 2 1 9 7 1 6 4 9 12 4 2 8 7 3 6 5 6 4 2 11 6 9 7 5 4 6 7 5 4 13 5 7 5 4 5 9 5 12 7 3 3 6 1 5 4 4 4 6 5 7 7 9 8 5 5 3 8 2 2 1 5
29 NO Norway 938 977 913 930 911 898 866 931 925 976 836 785 795 786 795 777 749 686 729 707 780 716 758 746 712 752 721 693 722 669 663 700 698 732 720 745 712 750 709 766 752 741 752 745 748 753 745 831 804 816 786 833 851 870 864 939 937 881 852 826 764 873 762 798 802 759 802 773 756 755 748 711 777 713 679 669 729 725 678 756 734 686 721 709 740 717 684 723 759 715 681 740 741 731 786 774 688 810 818 855 789 819 919 923 982 1006 1048 928 866 914 823 845 898 863 822 805 788 756 809 776 758 816 745 733 694 735 688 724 732 758 733 756 694 749 728 691 742 704 740 731 709 704 697 713 734 764 693 793 746 704 760 791 771 832 844 897 891 939 872 945 857 881 904 929 917 907 950 867 905 807 821 827 780 781 757 738 714 692 759 715 671 703 741 777 737 722 773 679 705 694 754 715 694 706 722 712 702 715 744 696 815 776 737 720 802 823 759 802 873 872 829 812 835 889 844 914 828 821 833 837 806 791 782 757 761 800 775 774 732 741 730 707 737 725 767 736 736 742 722 729 706 734 678 779 714 708 756 820 711 788 785 794 776 785 846 785 780 851 783 774 806 862 952 837 862 816 796 856 813 836 800 827 811 854 831 841 816 777 749 742 686 740 662 677 732 739 684 697 668 754 732 746 738 735 746 699 710 786 774 743 784 743 714 796 791 777 780 800 774 790 841 823 831 841 832 868 860 852 793 814 769 757 705 791 788 769 720 780 751 753 777 696 709 740 728 726 729 686 696 721 770 718 757 747 767 781 789 785 792 786 821 818 806 806 805 847 894 918 959 918 948 968 1050 979 968 929 958 912 824 825 922 888 909 992 974 932 992 988 895 950 863 842 843 835 832 844 753 806 780 809 892 805 857 882 867 803 817 793 830 775 766 830 802 847 845 815 859 854 853 867 844 883 934 923 949 1028 1069 1137 1105 1074 912 889 877 853 841 843 793 837 851 852 820 791 812 840 827 774 817 712 777 808 779 801 753 832 751 753 737 752 793 758 726 754 760 809 840 816 829 782 801 855 839 871 886 922 981 919 933 916 989 911 985 969 992 917 920 877 859 871 868 845 824 816 850 793 805 805 819 805 755 803 842 795 834 775 767 796 779 744 790 792 822 791 819 798 830 885 852 768 804 809 902 859 874 826 840 862 818
30 CH Switzerland 1423 1494 1524 1480 1590 1656 1805 1772 1729 1549 1541 1435 1293 1302 1229 1284 1215 1275 1161 1152 1129 1099 1171 1169 1100 1197 1295 1358 1295 1174 1140 1215 1195 1152 1172 1151 1188 1130 1188 1235 1168 1220 1203 1286 1169 1199 1257 1255 1307 1240 1208 1294 1318 1340 1243 1323 1351 1345 1340 1313 1380 1320 1355 1278 1294 1269 1242 1224 1139 1175 1172 1149 1176 1227 1150 1104 1113 1237 1172 1092 1164 1235 1181 1113 1150 1166 1131 1137 1184 1103 1180 1212 1286 1271 1277 1230 1313 1286 1353 1193 1331 1294 1301 1446 1589 1678 1731 1746 1657 1564 1592 1402 1383 1395 1348 1262 1239 1183 1234 1201 1181 1223 1210 1204 1207 1186 1126 1108 1120 1196 1166 1158 1087 1151 1121 1200 1099 1128 1207 1164 1153 1190 1265 1243 1295 1268 1210 1214 1153 1312 1251 1318 1396 1390 1357 1456 1375 1561 1541 1494 1397 1397 1441 1458 1478 1636 1532 1482 1380 1348 1339 1300 1229 1147 1226 1200 1117 1223 1159 1178 1119 1127 1181 1152 1078 1223 1222 1264 1222 1187 1145 1206 1178 1230 1177 1212 1225 1233 1211 1233 1272 1263 1248 1280 1321 1389 1356 1322 1349 1341 1389 1358 1403 1439 1481 1555 1527 1527 1452 1379 1351 1322 1382 1222 1308 1233 1256 1266 1218 1271 1245 1251 1171 1210 1243 1258 1225 1206 1260 1139 1138 1142 1252 1147 1172 1252 1296 1237 1234 1278 1298 1307 1224 1264 1365 1331 1375 1218 1367 1401 1329 1312 1363 1409 1412 1420 1388 1380 1367 1346 1353 1390 1527 1619 1874 1644 1570 1369 1247 1177 1150 1189 1098 1166 1148 1146 1175 1175 1166 1109 1151 1265 1163 1222 1207 1165 1165 1251 1234 1245 1236 1320 1267 1477 1667 2043 2103 2109 2061 2111 2109 2049 1871 1681 1906 1791 1761 1611 1439 1410 1299 1312 1281 1287 1228 1271 1244 1259 1253 1251 1275 1219 1259 1191 1209 1217 1111 1201 1191 1189 1171 1184 1219 1166 1170 1317 1255 1241 1336 1339 1346 1308 1320 1249 1312 1337 1375 1317 1430 1515 1589 1716 1791 1710 1586 1635 1549 1522 1494 1480 1479 1472 1580 1447 1478 1493 1557 1566 1557 1470 1349 1378 1296 1269 1241 1291 1214 1207 1217 1359 1387 1352 1345 1364 1491 1507 1368 1344 1323 1334 1234 1267 1305 1226 1476 1427 1456 1370 1446 1399 1408 1441 1493 1568 1635 1692 1785 1687 1674 1541 1520 1462 1373 1392 1427 1380 1429 1476 1447 1421 1338 1331 1332 1317 1381 1333 1251 1218 1244 1214 1235 1195 1204 1221 1180 1255 1266 1220 1239 1253 1376 1401 1254 1357 1276 1219 1248 1309 1317 1422 1460 1432 1503 1573 1530 1625 1615 1567 1562 1513 1514 1547 1508 1505 1426 1512 1439 1467 1441 1423 1435 1276 1254 1295 1321 1299 1362 1351 1267 1200 1235 1232 1250 1218 1276 1319 1265 1260 1271 1281 1283 1288 1328 1258 1329 1231 1261 1297 1295 1346 1302 1245 None None None None None
31 UK United Kingdom 12559 18270 16703 15688 14536 13701 13486 13038 13154 12998 12454 12010 11969 10294 11553 13027 11988 11560 10099 11659 11305 9495 11576 10823 10613 10488 10514 10255 9990 9978 9872 10114 10318 10320 10209 9063 10548 10357 10802 10677 11082 10762 10940 11000 11290 11318 11156 11188 11726 11672 12113 9786 8741 14841 13126 13039 12869 12546 12676 11988 12689 12710 12479 12457 10943 11723 13046 12732 12280 11771 10276 11975 11207 10987 9176 11149 10639 10591 10492 10382 10631 10648 10574 10405 10403 10310 10600 9196 10657 10416 10145 10249 10647 10993 11112 11012 11444 11785 12191 12035 11877 12702 12182 13229 9313 13589 15496 15206 14446 14168 13788 13202 13325 12810 12577 12076 11819 11434 11287 9747 10997 12340 10360 12096 11684 11403 9578 11109 10656 10908 10592 10534 10605 10381 10107 10212 10243 10535 10662 9340 10748 10652 10845 10997 11065 11319 11361 11131 11337 11727 11745 12074 12017 12319 12892 14280 9881 14668 17381 16313 15928 15059 14078 13891 13725 12156 14836 14335 13364 11282 12247 13810 12619 11567 11507 9795 11350 10937 9370 11234 10496 10489 10490 10538 10433 10317 10319 10377 10511 10049 10159 9012 10644 10467 10464 10408 10817 11015 11153 10848 10832 11532 11507 11256 11357 11659 12046 12611 8360 12387 14442 13512 13247 12767 13186 13319 12845 12451 12367 11978 11759 11245 11406 11622 10220 11424 12665 10341 11681 11616 9502 11426 10729 10779 10788 10296 10475 10303 10385 10526 10374 10358 10250 9443 10894 10860 10751 10930 11087 11370 11594 11381 11534 12142 12122 12452 12429 12252 12826 13532 8711 13744 15988 14696 13402 13106 12508 12392 12273 12310 12395 12519 12093 12496 18539 20905 24659 24272 20036 14407 16368 13826 11259 12090 11290 10690 10270 10398 9927 10093 10152 10253 10222 10583 10979 10352 9005 11158 10784 10861 11444 11359 11928 12292 12501 13418 13972 14276 14106 13956 13915 14625 None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None
32 ME Montenegro 142 140 148 128 134 141 126 162 155 163 122 140 106 137 114 121 138 108 98 123 98 114 125 116 89 89 102 136 118 158 114 124 97 85 87 125 96 116 92 138 125 116 117 131 121 135 130 89 124 122 123 129 125 126 129 126 155 123 124 122 116 130 123 118 144 115 136 107 111 112 125 119 99 110 112 128 121 142 120 109 98 116 123 128 100 104 119 109 124 105 117 131 123 109 129 121 130 123 123 103 126 111 159 198 193 191 203 189 146 173 143 120 133 134 115 115 130 114 140 127 116 122 105 93 117 121 122 123 121 116 127 119 117 103 120 128 149 119 103 92 102 103 100 141 114 100 103 120 108 109 115 125 124 133 142 133 121 155 127 153 119 136 115 131 150 158 144 126 126 135 151 127 100 125 130 127 102 109 111 110 116 102 126 108 107 117 124 120 129 96 122 120 124 116 125 99 133 123 114 124 117 120 125 132 134 128 116 149 146 141 152 142 171 169 142 140 170 129 149 121 116 114 117 120 139 123 136 110 109 117 91 121 134 126 131 117 112 112 123 107 112 129 121 119 124 122 112 106 121 127 119 106 113 134 125 128 132 134 147 141 106 86 118 145 133 139 150 130 142 119 141 113 126 150 118 122 113 101 112 95 115 113 115 112 113 101 115 154 137 146 156 151 130 112 137 138 148 123 131 154 149 147 159 183 176 173 163 197 168 166 163 194 192 166 200 179 194 173 203 205 211 220 221 212 232 184 222 197 187 193 189 155 166 156 111 144 96 138 125 132 137 116 132 147 136 182 167 181 168 178 193 187 187 173 199 169 193 201 178 199 183 202 165 173 154 170 188 221 236 261 228 177 170 164 130 130 129 130 127 130 109 130 112 115 127 129 142 127 123 88 108 116 135 128 127 143 139 125 121 115 133 113 109 113 124 112 118 112 125 114 110 127 107 115 130 115 138 132 138 150 142 146 118 134 145 148 133 134 122 123 100 120 139 133 112 111 110 125 130 119 134 118 120 118 120 121 115 125 112 125 98 107 104 133 107 109 124 118 115 97 116 111 110 111 102 111 111 125 112 153 157 140 139 169 165 163 154 137 132 121 136 115 121 122 126 105 115 119 121 86 106 110 98 106 118 115 116 127 116 134 127 110 121 109 91 None None None None None None None None None None None None
33 GE Georgia 1011 1036 1038 1026 991 994 1048 1078 1084 1115 1095 1034 1053 1000 986 1060 1012 996 912 998 983 921 867 864 865 894 793 837 837 851 948 918 943 805 755 785 851 822 762 789 800 850 939 934 903 930 986 1028 979 1026 959 1017 1048 1079 1119 1094 1050 1187 1108 1094 1003 1028 956 958 1056 993 967 932 975 896 938 957 941 951 909 860 878 846 873 755 829 857 732 918 1023 906 969 878 843 926 858 837 936 911 889 930 944 979 966 913 1073 1101 1172 1313 1346 1404 1249 1113 1068 1038 1047 1055 1021 1009 1009 998 954 921 1016 925 995 931 962 810 835 854 879 883 821 819 901 828 800 831 788 850 852 785 722 753 754 726 795 734 820 884 917 927 921 890 887 914 950 883 981 968 928 1036 910 971 971 964 948 993 941 918 912 1008 1009 884 913 966 870 959 929 872 926 836 805 860 856 837 951 917 811 817 841 859 753 768 814 773 769 747 745 747 829 878 777 831 924 968 970 952 964 905 972 962 1025 1228 1153 1117 1022 1064 963 910 983 981 954 919 947 931 939 960 938 992 960 930 894 874 909 901 853 847 832 765 807 768 763 873 738 789 803 745 687 734 778 798 831 813 820 785 863 927 895 929 941 912 948 898 946 1056 986 1067 1035 1036 1010 1007 986 999 972 905 908 826 826 794 895 862 886 883 903 879 813 832 850 822 780 838 903 842 810 762 755 758 795 735 806 757 752 763 822 902 906 895 1016 1133 1354 1458 1617 1646 1541 1471 1310 635 None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None
34 AL Albania 331 584 493 635 542 530 489 534 581 479 444 460 460 417 446 454 477 400 415 377 395 352 396 349 373 347 363 368 419 601 473 379 374 357 402 372 378 366 333 395 345 326 390 334 399 401 419 401 422 428 452 436 500 521 443 485 441 484 444 471 428 469 413 414 457 404 401 380 403 357 429 372 360 374 389 354 332 475 394 368 375 380 377 386 316 372 356 370 320 339 340 357 377 360 425 403 445 412 432 440 469 469 454 567 514 794 798 688 605 496 460 442 472 425 406 391 450 372 367 377 397 412 387 369 366 382 369 393 322 363 451 390 452 376 369 421 504 437 344 327 348 331 369 351 375 359 386 382 428 428 351 414 407 450 430 400 545 510 482 491 472 512 456 533 488 527 478 495 492 427 447 394 447 425 410 338 384 378 388 381 351 378 351 379 385 404 317 391 413 378 363 377 375 370 396 363 382 353 347 435 398 393 360 421 449 448 442 447 516 507 563 529 555 525 524 434 520 500 484 428 427 432 407 375 388 394 423 403 367 379 377 383 443 419 391 428 382 370 403 367 395 453 364 359 379 321 363 369 367 365 362 403 402 400 414 394 463 424 428 423 481 488 536 462 504 482 473 505 466 511 467 441 414 458 453 459 378 410 431 433 425 403 354 364 387 409 475 530 458 454 464 583 564 578 548 528 461 475 481 463 434 505 528 569 661 790 925 956 925 988 838 768 605 347 663 619 697 737 810 887 1048 993 896 803 700 487 629 600 560 536 526 445 425 400 399 406 384 381 470 460 437 397 342 431 453 474 489 454 470 556 622 None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None
35 RS Serbia 2338 2450 2238 2249 2210 2183 2339 2377 2405 2266 2180 2186 2219 2131 2060 2239 2103 2058 1945 1855 1840 1719 1994 1857 1679 1715 1817 1953 1938 2203 1694 1773 1899 1655 1777 1838 1633 1990 1685 1719 1842 1945 1886 2008 1951 1879 1960 1895 1893 1821 1953 2053 2073 2324 2086 2075 2095 2096 2038 2058 1924 1999 1917 1980 1919 2017 2049 1828 1886 1865 1833 1900 1862 1947 1835 1687 1863 2013 1766 1647 1775 1807 1756 1667 1646 1774 1697 1770 1697 1749 1724 1887 1885 2004 2011 1905 1908 1922 1983 2061 1940 1965 2063 2401 2865 3184 3381 2992 2632 2527 2143 2180 2214 2108 2021 1988 1967 1826 1955 1944 2059 1985 1926 1889 1885 1801 1965 1776 1740 1785 1888 1658 1822 1763 1678 1879 1914 1729 1684 1766 1598 1689 1677 1773 1885 1898 1962 1890 1831 1914 1928 1783 1894 1950 1942 1964 1908 2005 1984 2201 2110 2320 2404 2502 2416 2483 2342 2180 2103 2064 2064 1951 1775 1814 1814 1717 1761 1752 1797 1795 1721 1629 1711 1867 1760 1762 1705 1771 1822 1819 1808 1657 1716 1725 1819 1856 2029 1947 1887 1945 1918 1867 1926 1955 2010 1921 1984 2038 2082 2217 2227 2147 2286 2515 2428 2371 2359 2333 2111 2057 2015 1910 1967 1974 1907 1960 1841 1837 1854 1918 1864 1945 1977 1814 1799 1850 1703 1766 1858 1711 1751 1767 1769 1770 1580 1624 1679 1885 1791 1878 1902 1873 1873 1904 1902 1846 1959 1892 1951 1913 1859 2083 2129 2252 2318 2409 2276 2255 2211 2074 2044 1966 2069 2080 2107 2135 2086 1910 1858 1831 1949 1685 1743 1896 1840 1827 1998 2340 2232 2126 2304 2261 2019 1959 1860 1882 1793 1816 1829 1745 1867 1842 1895 1997 2065 2219 2529 2905 3422 4090 4065 3911 3691 3350 2980 2798 2705 2658 2536 2410 2556 2574 2618 2857 2861 3105 3138 3118 2949 2778 2724 2334 2351 2176 2038 2053 2070 1913 2273 1991 1943 1971 1683 2035 1789 1899 1849 1932 2196 2408 2895 2979 3281 3521 3590 3595 3554 3596 3338 3137 2895 2820 2779 2591 2480 2508 2298 2422 2537 2383 3468 3499 3037 2280 2472 2206 2111 2046 2108 1948 1788 1668 1786 1882 1808 1639 1365 1723 1636 1527 1708 1807 1703 1659 1877 1896 1929 1863 2010 1913 1811 1936 1789 1907 2056 1899 1936 1880 1688 1836 1844 1872 1893 1972 2003 2016 1964 2106 2035 2119 2045 1929 2123 2071 2318 2039 2040 1925 1920 1904 1836 1809 1761 1759 1469 1783 1671 1758 1735 1661 1676 1581 1836 1617 1653 1859 1845 1601 1655 1580 1726 1814 1643 1560 1673 1737 1601 1733 1831 1964 1890 1737 1756 1930 1903 2140 1991 2088 1984 1199 2126 2179 2256 2232 2083 2282 2111 1936 1912 1821 1780 1720 975 1653 1789 1672 1718 1766 1646 1598 1723 1612 1763 1587 1901 1628 1667 1898 2484 1755 1601 1658 2041 1901 1795 1744 1599 1693 1809 1815 1825 1743 1843 None None None None
36 AD Andorra 3 5 6 5 6 10 1 6 6 7 8 9 4 3 5 8 7 7 5 3 7 8 2 1 3 8 8 10 4 5 2 1 4 7 6 2 3 11 8 6 9 4 1 7 6 3 4 2 7 6 7 4 5 5 8 7 5 3 4 6 8 3 10 5 10 3 3 6 4 7 2 11 2 4 8 3 4 11 5 6 10 3 9 12 2 7 8 6 4 5 4 5 6 7 4 2 5 3 7 8 8 7 6 9 10 9 14 9 13 5 5 4 13 11 8 9 7 9 9 5 4 3 4 4 3 3 8 8 5 6 4 2 3 5 5 4 2 4 6 5 3 9 4 5 7 4 5 4 9 5 3 10 6 7 8 6 8 11 8 7 10 9 9 8 3 7 8 7 10 5 5 10 3 3 1 3 7 5 4 5 9 6 7 4 5 4 8 7 5 6 8 7 5 6 10 8 8 9 7 6 7 3 8 7 3 4 5 6 8 5 6 4 8 11 5 8 9 6 3 7 4 2 8 7 8 2 4 3 5 5 4 7 6 4 5 9 6 6 9 3 4 4 6 2 3 6 4 9 2 6 6 8 6 3 9 8 7 9 11 6 1 None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None
In [7]:
# This code processes the raw death data (dd) by restructuring it into a long-form dataframe. 
# Each row in the new dataframe represents a single country's deaths for a specific year and week, 
# along with additional metadata such as country abbreviations and derived values.

yw_cols = dd.columns[2::]
abbrs = dd.abbr.drop_duplicates().to_list()
names = dd.name.drop_duplicates().to_list()
d = []

for ic,c in enumerate(abbrs):
    for yw in yw_cols:
        y = yw[0:4]
        w = yw[6:8]
        dv = dd.at[ic,yw]
            
        d.append(
            {
                'name': names[ic],
                'abbr':c,
                'year':y,
                'week':w,
                'year.week': int(y) + int(w)/100,
                'year.p': int(y) + (int(w)/53.001),
                'deaths': dv
            }
        )

#print(d)
dd = pd.DataFrame(d)
dd.year = pd.to_numeric(dd.year)
dd.week = pd.to_numeric(dd.week)
display(dd.head(10))
display(dd.tail(10))
name abbr year week year.week year.p deaths
0 Belgium BE 2015 1 2015.01 2015.018868 2461.0
1 Belgium BE 2015 2 2015.02 2015.037735 2525.0
2 Belgium BE 2015 3 2015.03 2015.056603 2526.0
3 Belgium BE 2015 4 2015.04 2015.075470 2510.0
4 Belgium BE 2015 5 2015.05 2015.094338 2644.0
5 Belgium BE 2015 6 2015.06 2015.113205 2727.0
6 Belgium BE 2015 7 2015.07 2015.132073 2892.0
7 Belgium BE 2015 8 2015.08 2015.150941 2774.0
8 Belgium BE 2015 9 2015.09 2015.169808 2643.0
9 Belgium BE 2015 10 2015.10 2015.188676 2457.0
name abbr year week year.week year.p deaths
19119 Andorra AD 2024 38 2024.38 2024.716968 NaN
19120 Andorra AD 2024 39 2024.39 2024.735835 NaN
19121 Andorra AD 2024 40 2024.40 2024.754703 NaN
19122 Andorra AD 2024 41 2024.41 2024.773570 NaN
19123 Andorra AD 2024 42 2024.42 2024.792438 NaN
19124 Andorra AD 2024 43 2024.43 2024.811305 NaN
19125 Andorra AD 2024 44 2024.44 2024.830173 NaN
19126 Andorra AD 2024 45 2024.45 2024.849041 NaN
19127 Andorra AD 2024 46 2024.46 2024.867908 NaN
19128 Andorra AD 2024 47 2024.47 2024.886776 NaN
In [8]:
# here we are just looking at some statistics about the data
col = 'deaths'
display(MD(f'### describe {col=}'))
display(dd[col].describe())
display(MD(f'### Nan {col=}'))
display(dd[col].isna().sum())

describe col='deaths'¶

count    18204.000000
mean      2975.750989
std       4375.910501
min          0.000000
25%        459.000000
50%       1233.500000
75%       2552.000000
max      28682.000000
Name: deaths, dtype: float64

Nan col='deaths'¶

np.int64(925)
In [9]:
# there are quite a few NAN (not a number) values
# here we get rid of them 

# Get counts of NA values for each 'abbr' group
na_counts = dd[dd.deaths.isna()].groupby('abbr').size()

# Filter for 'abbr' groups with more than 12 NA values
filtered_abbrs = na_counts[na_counts > 12].index

for c in filtered_abbrs:
    print(f'removing -- {c} {abbr_to_name(c)} NACount={na_counts[c]}')
    dd = dd[dd.abbr != c]  # Drop rows where 'abbr' matches
removing -- AD Andorra NACount=256
removing -- AL Albania NACount=166
removing -- GE Georgia NACount=203
removing -- UK United Kingdom NACount=205
In [10]:
# Fill missing values (NaNs) in the 2024 data with the mean deaths for 2024 by country

# Filter data for the year 2024
df_2024 = dd[dd.year == 2024]

# Group the 2024 data by country abbreviation ('abbr') and calculate summary statistics
grouped = df_2024.groupby('abbr')

# Compute statistics: mean, total count, number of NaNs, total deaths, and mean deaths per week
stats = grouped['deaths'].agg(
    Mean='mean',          # Average deaths for each country in 2024
    Count='size',         # Total number of records for each country in 2024
    NACount=lambda x: x.isna().sum(),  # Count of missing (NaN) values
    SumFor2024='sum'      # Total deaths for each country in 2024
).reset_index()

# Replace missing death values in 2024 with the calculated mean for each country
for _, row in stats.iterrows():
    dd.loc[
        (dd.abbr == row['abbr']) & (dd.year == 2024) & (dd.deaths.isna()), 
        'deaths'
    ] = row['Mean']
In [11]:
# here we normalize the death values

dd['deaths_norm'] = 0.0

## baseline years are 2015,2016,2017 before the pandemic 
blyears = dd[dd.year.isin([2015,2016,2017])]
grouped = blyears.groupby('abbr')

temp = grouped['deaths'].agg(
    baseline='mean',
).reset_index()

for _, row in temp.iterrows():
    dd.loc[dd.abbr == row['abbr'], 'deaths_norm'] = dd[(dd.abbr == row['abbr'])].deaths / row['baseline']
In [12]:
display(dd.head(10))
display(dd.tail(10))
name abbr year week year.week year.p deaths deaths_norm
0 Belgium BE 2015 1 2015.01 2015.018868 2461.0 1.173617
1 Belgium BE 2015 2 2015.02 2015.037735 2525.0 1.204138
2 Belgium BE 2015 3 2015.03 2015.056603 2526.0 1.204615
3 Belgium BE 2015 4 2015.04 2015.075470 2510.0 1.196984
4 Belgium BE 2015 5 2015.05 2015.094338 2644.0 1.260887
5 Belgium BE 2015 6 2015.06 2015.113205 2727.0 1.300469
6 Belgium BE 2015 7 2015.07 2015.132073 2892.0 1.379155
7 Belgium BE 2015 8 2015.08 2015.150941 2774.0 1.322882
8 Belgium BE 2015 9 2015.09 2015.169808 2643.0 1.260410
9 Belgium BE 2015 10 2015.10 2015.188676 2457.0 1.171709
name abbr year week year.week year.p deaths deaths_norm
18602 Serbia RS 2024 38 2024.38 2024.716968 1693.000000 0.859978
18603 Serbia RS 2024 39 2024.39 2024.735835 1809.000000 0.918901
18604 Serbia RS 2024 40 2024.40 2024.754703 1815.000000 0.921949
18605 Serbia RS 2024 41 2024.41 2024.773570 1825.000000 0.927028
18606 Serbia RS 2024 42 2024.42 2024.792438 1743.000000 0.885376
18607 Serbia RS 2024 43 2024.43 2024.811305 1843.000000 0.936172
18608 Serbia RS 2024 44 2024.44 2024.830173 1821.860465 0.925434
18609 Serbia RS 2024 45 2024.45 2024.849041 1821.860465 0.925434
18610 Serbia RS 2024 46 2024.46 2024.867908 1821.860465 0.925434
18611 Serbia RS 2024 47 2024.47 2024.886776 1821.860465 0.925434
In [13]:
# here we are making ddy (the death data grouped by year)

ddy = dd.groupby(
    ['name', 'abbr', 'year'], 
    as_index=False)\
    [['deaths', 'deaths_norm']]\
    .mean()

display(ddy.head(10))
display(ddy.tail(10))
name abbr year deaths deaths_norm
0 Austria AT 2015 1565.452830 1.010917
1 Austria AT 2016 1516.192308 0.979106
2 Austria AT 2017 1563.673077 1.009767
3 Austria AT 2018 1578.134615 1.019106
4 Austria AT 2019 1568.403846 1.012822
5 Austria AT 2020 1720.679245 1.111157
6 Austria AT 2021 1721.884615 1.111935
7 Austria AT 2022 1761.096154 1.137257
8 Austria AT 2023 1685.923077 1.088712
9 Austria AT 2024 1652.955556 1.067423
name abbr year deaths deaths_norm
320 Switzerland CH 2015 1297.849057 1.018109
321 Switzerland CH 2016 1243.250000 0.975278
322 Switzerland CH 2017 1282.750000 1.006264
323 Switzerland CH 2018 1286.307692 1.009055
324 Switzerland CH 2019 1298.365385 1.018514
325 Switzerland CH 2020 1431.339623 1.122827
326 Switzerland CH 2021 1357.673077 1.065038
327 Switzerland CH 2022 1424.903846 1.117778
328 Switzerland CH 2023 1371.692308 1.076036
329 Switzerland CH 2024 1331.238095 1.044301

Viewing the Death Data¶

This section focuses on exploring the death data to ensure it is correctly loaded and processed. We will inspect the data's structure, check for anomalies, and visualize key trends.

In [14]:
title = 'Line Chart - normalized deaths in Europe 2015-2024 (by year)'
display(MD(f'### {title}'))
report = r"docs\ddy_line.html"

fig = px.line(
    ddy,
    x='year',
    y='deaths_norm',
    color='abbr',
    height=750 ,
    title=title
    )
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/ddy_line.html)'))

fig.show()

Line Chart - normalized deaths in Europe 2015-2024 (by year)¶

In [15]:
title = 'Line Chart - normalized deaths in Europe 2015-2024 (by week)'
display(MD(f'### {title}'))
report = r"docs\dd_line.html"

fig = px.line(
    dd,
    x='year.p',
    y='deaths_norm',
    color='abbr',
    height=750 ,
    title=title
    )
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/dd_line.html)'))

fig.show()

Line Chart - normalized deaths in Europe 2015-2024 (by week)¶

In [16]:
display(MD('### HeatMap (based on Year)'))
temp = pd.pivot_table(
    data = ddy.copy(),
    values = 'deaths_norm',
    index = ['abbr','name'],
    columns=['year'],
    aggfunc='mean',
)
temp.columns.name = 'index' 

temp = temp.sort_values(by=2023,ascending=False)
temp = temp.reset_index()
ddr2023 = temp.copy()

temp = temp.sort_values(by=2024,ascending=False)
temp = temp.reset_index(drop=True)
ddr2024 = temp.copy()

display(temp.style.background_gradient(cmap=heatmapCM,axis=1))

HeatMap (based on Year)¶

index abbr name 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
0 MT Malta 1.004157 0.961827 1.033935 1.067663 1.071152 1.184449 1.203738 1.226999 1.169429 1.195514
1 IS Iceland 0.975717 1.026691 0.998060 1.006559 1.012375 1.029265 1.045927 1.203398 1.147478 1.163664
2 NL Netherlands 0.990752 0.999534 1.009892 1.031217 1.021614 1.133312 1.147735 1.140822 1.138502 1.149227
3 LI Liechtenstein 0.984876 1.050506 0.964909 1.062178 1.011598 1.240639 1.038833 1.085522 1.027161 1.127824
4 IE Ireland 0.994335 1.004840 1.000934 1.020105 1.008454 1.028312 1.105698 1.135294 1.132809 1.113159
5 CY Cyprus 1.016240 0.943163 1.040284 1.003756 1.076467 1.129533 1.249761 1.247856 1.157833 1.095931
6 LU Luxembourg 0.979597 0.972290 1.048505 1.060591 1.057631 1.129392 1.107454 1.096108 1.088462 1.086108
7 DE Germany 1.003695 0.985588 1.010646 1.035597 1.018716 1.068455 1.108186 1.157326 1.114018 1.077843
8 PT Portugal 0.993463 1.006740 0.999923 1.031115 1.019970 1.125985 1.136183 1.134645 1.078520 1.074541
9 FI Finland 0.983845 1.009937 1.006529 1.023471 1.011123 1.038642 1.083859 1.163166 1.150723 1.071371
10 NO Norway 1.003358 0.995838 1.000739 1.003004 0.997833 0.995627 1.032626 1.122701 1.072443 1.069332
11 AT Austria 1.010917 0.979106 1.009767 1.019106 1.012822 1.111157 1.111935 1.137257 1.088712 1.067423
12 DK Denmark 0.994781 0.997707 1.007612 1.045049 1.020932 1.032815 1.082334 1.124705 1.097761 1.065182
13 SI Slovenia 0.993245 0.981901 1.024985 1.024583 1.030552 1.200958 1.158048 1.125547 1.076946 1.062972
14 FR France 0.994928 0.991452 1.013718 1.019894 1.025786 1.117518 1.106247 1.129496 1.068420 1.054981
15 ES Spain 1.010234 0.977384 1.012185 1.020380 0.998528 1.177890 1.077604 1.108187 1.046356 1.045272
16 CH Switzerland 1.018109 0.975278 1.006264 1.009055 1.018514 1.122827 1.065038 1.117778 1.076036 1.044301
17 EL Greece 0.999478 0.975679 1.024853 0.990845 1.028727 1.077646 1.186747 1.158860 1.054607 1.035743
18 EE Estonia 0.991092 0.999254 1.009825 1.023397 1.000429 1.027967 1.201663 1.122383 1.040950 1.032921
19 PL Poland 0.999206 0.980662 1.020147 1.042396 1.033049 1.207455 1.314551 1.132975 1.033751 1.014324
20 BE Belgium 1.011440 0.986164 1.002176 1.011925 0.994454 1.155612 1.026736 1.065089 1.019482 1.010644
21 ME Montenegro 0.986453 1.001060 1.012747 1.009631 1.025214 1.123749 1.420402 1.095026 0.983919 1.006421
22 CZ Czechia 1.011566 0.976933 1.011278 1.025827 1.020689 1.175313 1.267662 1.091829 1.023413 1.003266
23 SK Slovakia 1.010223 0.979585 1.009996 1.018177 0.998956 1.112044 1.372265 1.116390 1.014717 0.997733
24 IT Italy 1.015460 0.966445 1.017797 0.989897 0.996219 1.150568 1.094275 1.102056 1.020140 0.987198
25 SE Sweden 1.006504 0.991896 1.001474 1.001597 0.962637 1.065523 0.992098 1.018030 1.012161 0.966534
26 HU Hungary 1.013572 0.973807 1.012360 1.007202 0.996800 1.083611 1.195559 1.048346 0.985011 0.965450
27 HR Croatia 1.023025 0.969214 1.007318 0.993949 0.975965 1.074993 1.184562 1.076756 0.968855 0.956459
28 RS Serbia 1.011781 0.980472 1.007521 0.986724 0.985532 1.140947 1.326833 1.019927 0.923248 0.925434
29 LT Lithuania 1.021154 0.999852 0.978587 0.965422 0.934393 1.064130 1.161457 1.037072 0.925045 0.917770
30 LV Latvia 0.997081 0.997699 1.005276 1.008223 0.969252 1.009608 1.209145 1.062066 0.968761 0.914908
31 BG Bulgaria 1.011131 0.983808 1.004848 0.994599 0.991014 1.135539 1.366352 1.086958 0.925228 0.904553
32 RO Romania 1.007747 0.988011 1.004094 1.011801 1.000319 1.136796 1.284457 1.038581 0.923994 0.825940
In [17]:
display(MD('### HeatMap (by week)'))
temp = pd.pivot_table(
    data = dd.copy(),
    values = 'deaths_norm',
    index = ['abbr','name'],
    columns=['year.p'],
    aggfunc='mean',
)
temp.columns.name = 'index' 
temp = temp.reset_index()
temp = temp.set_index('name').reindex(ddr2024['name']).reset_index()
display(temp.style.background_gradient(cmap=heatmapCM,axis=1))

HeatMap (by week)¶

index name abbr 2015.018868 2015.037735 2015.056603 2015.075470 2015.094338 2015.113205 2015.132073 2015.150941 2015.169808 2015.188676 2015.207543 2015.226411 2015.245278 2015.264146 2015.283014 2015.301881 2015.320749 2015.339616 2015.358484 2015.377351 2015.396219 2015.415087 2015.433954 2015.452822 2015.471689 2015.490557 2015.509424 2015.528292 2015.547159 2015.566027 2015.584895 2015.603762 2015.622630 2015.641497 2015.660365 2015.679232 2015.698100 2015.716968 2015.735835 2015.754703 2015.773570 2015.792438 2015.811305 2015.830173 2015.849041 2015.867908 2015.886776 2015.905643 2015.924511 2015.943378 2015.962246 2015.981114 2015.999981 2016.018868 2016.037735 2016.056603 2016.075470 2016.094338 2016.113205 2016.132073 2016.150941 2016.169808 2016.188676 2016.207543 2016.226411 2016.245278 2016.264146 2016.283014 2016.301881 2016.320749 2016.339616 2016.358484 2016.377351 2016.396219 2016.415087 2016.433954 2016.452822 2016.471689 2016.490557 2016.509424 2016.528292 2016.547159 2016.566027 2016.584895 2016.603762 2016.622630 2016.641497 2016.660365 2016.679232 2016.698100 2016.716968 2016.735835 2016.754703 2016.773570 2016.792438 2016.811305 2016.830173 2016.849041 2016.867908 2016.886776 2016.905643 2016.924511 2016.943378 2016.962246 2016.981114 2017.018868 2017.037735 2017.056603 2017.075470 2017.094338 2017.113205 2017.132073 2017.150941 2017.169808 2017.188676 2017.207543 2017.226411 2017.245278 2017.264146 2017.283014 2017.301881 2017.320749 2017.339616 2017.358484 2017.377351 2017.396219 2017.415087 2017.433954 2017.452822 2017.471689 2017.490557 2017.509424 2017.528292 2017.547159 2017.566027 2017.584895 2017.603762 2017.622630 2017.641497 2017.660365 2017.679232 2017.698100 2017.716968 2017.735835 2017.754703 2017.773570 2017.792438 2017.811305 2017.830173 2017.849041 2017.867908 2017.886776 2017.905643 2017.924511 2017.943378 2017.962246 2017.981114 2018.018868 2018.037735 2018.056603 2018.075470 2018.094338 2018.113205 2018.132073 2018.150941 2018.169808 2018.188676 2018.207543 2018.226411 2018.245278 2018.264146 2018.283014 2018.301881 2018.320749 2018.339616 2018.358484 2018.377351 2018.396219 2018.415087 2018.433954 2018.452822 2018.471689 2018.490557 2018.509424 2018.528292 2018.547159 2018.566027 2018.584895 2018.603762 2018.622630 2018.641497 2018.660365 2018.679232 2018.698100 2018.716968 2018.735835 2018.754703 2018.773570 2018.792438 2018.811305 2018.830173 2018.849041 2018.867908 2018.886776 2018.905643 2018.924511 2018.943378 2018.962246 2018.981114 2019.018868 2019.037735 2019.056603 2019.075470 2019.094338 2019.113205 2019.132073 2019.150941 2019.169808 2019.188676 2019.207543 2019.226411 2019.245278 2019.264146 2019.283014 2019.301881 2019.320749 2019.339616 2019.358484 2019.377351 2019.396219 2019.415087 2019.433954 2019.452822 2019.471689 2019.490557 2019.509424 2019.528292 2019.547159 2019.566027 2019.584895 2019.603762 2019.622630 2019.641497 2019.660365 2019.679232 2019.698100 2019.716968 2019.735835 2019.754703 2019.773570 2019.792438 2019.811305 2019.830173 2019.849041 2019.867908 2019.886776 2019.905643 2019.924511 2019.943378 2019.962246 2019.981114 2020.018868 2020.037735 2020.056603 2020.075470 2020.094338 2020.113205 2020.132073 2020.150941 2020.169808 2020.188676 2020.207543 2020.226411 2020.245278 2020.264146 2020.283014 2020.301881 2020.320749 2020.339616 2020.358484 2020.377351 2020.396219 2020.415087 2020.433954 2020.452822 2020.471689 2020.490557 2020.509424 2020.528292 2020.547159 2020.566027 2020.584895 2020.603762 2020.622630 2020.641497 2020.660365 2020.679232 2020.698100 2020.716968 2020.735835 2020.754703 2020.773570 2020.792438 2020.811305 2020.830173 2020.849041 2020.867908 2020.886776 2020.905643 2020.924511 2020.943378 2020.962246 2020.981114 2020.999981 2021.018868 2021.037735 2021.056603 2021.075470 2021.094338 2021.113205 2021.132073 2021.150941 2021.169808 2021.188676 2021.207543 2021.226411 2021.245278 2021.264146 2021.283014 2021.301881 2021.320749 2021.339616 2021.358484 2021.377351 2021.396219 2021.415087 2021.433954 2021.452822 2021.471689 2021.490557 2021.509424 2021.528292 2021.547159 2021.566027 2021.584895 2021.603762 2021.622630 2021.641497 2021.660365 2021.679232 2021.698100 2021.716968 2021.735835 2021.754703 2021.773570 2021.792438 2021.811305 2021.830173 2021.849041 2021.867908 2021.886776 2021.905643 2021.924511 2021.943378 2021.962246 2021.981114 2022.018868 2022.037735 2022.056603 2022.075470 2022.094338 2022.113205 2022.132073 2022.150941 2022.169808 2022.188676 2022.207543 2022.226411 2022.245278 2022.264146 2022.283014 2022.301881 2022.320749 2022.339616 2022.358484 2022.377351 2022.396219 2022.415087 2022.433954 2022.452822 2022.471689 2022.490557 2022.509424 2022.528292 2022.547159 2022.566027 2022.584895 2022.603762 2022.622630 2022.641497 2022.660365 2022.679232 2022.698100 2022.716968 2022.735835 2022.754703 2022.773570 2022.792438 2022.811305 2022.830173 2022.849041 2022.867908 2022.886776 2022.905643 2022.924511 2022.943378 2022.962246 2022.981114 2023.018868 2023.037735 2023.056603 2023.075470 2023.094338 2023.113205 2023.132073 2023.150941 2023.169808 2023.188676 2023.207543 2023.226411 2023.245278 2023.264146 2023.283014 2023.301881 2023.320749 2023.339616 2023.358484 2023.377351 2023.396219 2023.415087 2023.433954 2023.452822 2023.471689 2023.490557 2023.509424 2023.528292 2023.547159 2023.566027 2023.584895 2023.603762 2023.622630 2023.641497 2023.660365 2023.679232 2023.698100 2023.716968 2023.735835 2023.754703 2023.773570 2023.792438 2023.811305 2023.830173 2023.849041 2023.867908 2023.886776 2023.905643 2023.924511 2023.943378 2023.962246 2023.981114 2024.018868 2024.037735 2024.056603 2024.075470 2024.094338 2024.113205 2024.132073 2024.150941 2024.169808 2024.188676 2024.207543 2024.226411 2024.245278 2024.264146 2024.283014 2024.301881 2024.320749 2024.339616 2024.358484 2024.377351 2024.396219 2024.415087 2024.433954 2024.452822 2024.471689 2024.490557 2024.509424 2024.528292 2024.547159 2024.566027 2024.584895 2024.603762 2024.622630 2024.641497 2024.660365 2024.679232 2024.698100 2024.716968 2024.735835 2024.754703 2024.773570 2024.792438 2024.811305 2024.830173 2024.849041 2024.867908 2024.886776
0 Malta MT 1.285150 1.406106 1.406106 1.088598 1.270031 1.179314 1.406106 1.511941 1.436344 1.133956 1.436344 1.224673 1.149076 1.043240 1.118837 0.982762 0.846687 0.952523 0.816448 0.740851 1.043240 0.816448 0.922284 0.997881 0.755971 0.755971 0.801329 0.876926 0.725732 1.028120 0.982762 0.876926 0.831568 0.710612 0.952523 0.907165 0.922284 0.801329 0.816448 0.710612 0.816448 1.013001 0.952523 1.013001 0.559418 0.907165 0.937404 1.043240 1.028120 0.922284 0.922284 1.118837 1.315389 1.300270 1.043240 1.239792 1.073478 1.103717 1.542180 0.952523 0.861807 0.801329 0.967643 0.907165 0.997881 0.861807 1.028120 0.876926 0.876926 0.816448 0.861807 1.013001 0.922284 0.876926 1.013001 0.816448 0.801329 0.876926 0.650135 0.982762 1.103717 0.755971 0.771090 0.710612 0.861807 0.937404 0.982762 0.816448 0.982762 0.861807 1.013001 0.967643 0.876926 1.028120 1.149076 0.695493 0.907165 0.937404 0.997881 1.058359 0.937404 1.013001 1.179314 1.179314 1.224673 1.557300 1.481703 1.768971 1.617777 1.421225 1.270031 1.164195 1.345628 0.952523 1.179314 0.907165 1.073478 1.118837 1.028120 1.058359 1.043240 0.937404 0.997881 1.013001 0.876926 0.861807 0.982762 0.861807 0.801329 0.740851 0.982762 0.937404 0.635015 0.816448 0.937404 1.164195 1.118837 0.876926 0.892045 0.846687 0.831568 0.876926 0.604777 0.740851 0.831568 0.952523 0.922284 0.786210 1.133956 0.831568 1.179314 0.907165 1.028120 1.149076 1.149076 1.179314 1.390986 1.632897 1.118837 1.300270 1.239792 1.164195 1.285150 1.496822 1.617777 1.360747 1.375867 1.164195 1.149076 0.846687 1.194434 0.952523 1.028120 1.028120 1.103717 1.028120 1.073478 1.088598 1.043240 0.967643 1.133956 0.892045 0.967643 0.937404 0.907165 1.043240 0.982762 0.876926 0.816448 0.892045 0.967643 0.982762 0.831568 1.013001 0.846687 0.922284 0.907165 1.088598 0.771090 1.088598 0.740851 1.118837 0.997881 0.831568 1.043240 1.073478 1.179314 0.892045 1.511941 1.496822 1.315389 1.753852 1.587539 1.542180 1.315389 1.179314 1.330508 1.617777 1.330508 1.088598 1.315389 1.133956 1.133956 1.028120 1.133956 0.967643 1.088598 1.058359 0.952523 0.755971 1.103717 0.801329 1.118837 0.952523 1.088598 0.831568 1.028120 0.755971 0.982762 1.028120 1.088598 0.846687 0.695493 0.937404 1.118837 0.907165 0.801329 0.725732 0.952523 0.710612 0.952523 1.028120 0.771090 0.952523 0.997881 1.133956 1.149076 0.876926 0.861807 1.103717 1.270031 1.103717 1.406106 1.617777 1.330508 1.164195 1.360747 1.088598 1.118837 1.043240 1.058359 1.360747 1.587539 1.224673 1.133956 1.194434 1.406106 0.861807 1.133956 1.088598 1.073478 0.801329 1.028120 0.982762 0.876926 0.937404 0.740851 1.073478 0.997881 0.997881 0.937404 1.058359 1.073478 1.209553 1.254911 1.103717 1.073478 0.967643 0.967643 1.209553 1.270031 1.073478 0.937404 1.013001 1.360747 1.300270 1.466583 1.360747 1.406106 1.632897 1.542180 1.678255 1.723613 1.360747 1.406106 1.285150 1.784091 1.406106 1.360747 1.421225 1.663136 1.648016 1.632897 1.587539 1.421225 1.300270 1.164195 0.997881 1.058359 0.982762 0.892045 1.058359 1.164195 1.133956 1.179314 0.801329 0.892045 1.043240 0.861807 1.421225 1.028120 1.194434 0.967643 0.937404 1.466583 1.466583 1.118837 1.164195 1.058359 1.088598 1.103717 0.755971 1.285150 0.997881 0.816448 1.315389 0.861807 1.088598 0.967643 1.239792 1.239792 1.209553 1.164195 1.330508 1.648016 1.511941 1.466583 1.406106 1.874807 1.829449 1.693374 1.738733 1.557300 1.239792 1.572419 1.511941 1.270031 1.209553 1.224673 1.602658 1.164195 1.285150 1.315389 1.103717 1.088598 1.073478 0.846687 0.952523 1.194434 1.209553 1.028120 0.922284 1.330508 1.149076 1.254911 1.013001 1.013001 1.194434 0.967643 0.831568 1.013001 1.133956 1.164195 0.846687 0.997881 1.133956 1.058359 1.254911 1.103717 1.209553 1.149076 1.164195 1.224673 0.997881 1.224673 1.194434 1.496822 1.300270 1.511941 1.451464 1.270031 1.753852 1.360747 1.315389 1.239792 1.375867 1.360747 1.375867 1.406106 1.028120 1.043240 1.209553 0.997881 1.133956 1.133956 1.209553 1.209553 1.013001 0.876926 1.013001 1.133956 0.922284 1.194434 0.922284 1.164195 1.270031 1.360747 2.010882 1.088598 1.088598 1.103717 1.103717 1.058359 1.058359 1.133956 0.952523 0.771090 0.967643 1.254911 0.922284 1.118837 0.876926 1.103717 0.937404 0.997881 0.967643 1.073478 1.270031 1.285150 1.406106 1.542180 1.436344 1.723613 1.451464 1.345628 1.406106 1.330508 1.209553 1.088598 1.179314 0.997881 1.390986 1.209553 1.436344 1.300270 1.058359 1.028120 0.967643 1.149076 1.118837 1.209553 1.179314 1.028120 1.164195 0.967643 0.892045 1.133956 1.043240 1.073478 1.285150 1.285150 1.239792 1.103717 1.254911 1.481703 1.360747 1.073478 1.194434 1.118837 1.118837 1.013001 0.619896 1.195514 1.195514 1.195514 1.195514 1.195514
1 Iceland IS 1.139873 0.977034 1.023559 1.116610 1.023559 1.325974 1.163135 1.093347 1.093347 0.953771 1.070084 1.046822 0.977034 0.953771 0.907246 1.093347 0.953771 0.953771 0.860720 1.232923 1.163135 0.907246 0.860720 0.953771 0.744407 0.744407 0.977034 0.814195 0.767669 1.302712 0.977034 0.744407 1.139873 1.070084 0.581568 1.116610 0.883983 0.883983 1.046822 0.744407 0.628093 0.907246 1.209661 0.883983 0.697881 1.046822 1.000296 1.232923 0.814195 0.930508 1.046822 0.767669 1.163135 1.023559 1.302712 1.186398 0.814195 1.070084 1.046822 0.907246 0.930508 0.907246 1.186398 1.023559 0.977034 1.000296 1.116610 1.093347 1.232923 1.139873 0.860720 0.907246 0.790932 0.930508 1.046822 1.046822 0.930508 0.767669 1.116610 1.070084 0.953771 1.256186 1.000296 0.767669 1.000296 1.023559 0.860720 0.977034 0.860720 1.186398 1.325974 1.279449 1.093347 0.953771 1.163135 1.116610 0.930508 1.116610 1.139873 0.883983 0.697881 1.000296 1.116610 1.209661 1.046822 0.814195 1.232923 1.070084 1.232923 1.116610 1.279449 1.302712 1.070084 0.814195 0.930508 0.977034 1.116610 1.116610 0.814195 1.000296 1.186398 0.883983 1.070084 1.046822 0.953771 0.953771 0.953771 1.023559 0.930508 1.093347 1.000296 1.093347 0.814195 1.070084 0.930508 0.721144 0.883983 0.930508 1.023559 0.930508 0.837457 1.046822 0.837457 1.093347 0.814195 1.046822 1.093347 0.883983 0.907246 0.860720 1.186398 1.093347 1.093347 1.000296 0.837457 1.023559 0.860720 1.442288 1.093347 0.953771 1.163135 1.093347 1.070084 1.023559 1.325974 1.163135 1.000296 0.860720 0.837457 1.279449 1.279449 1.186398 1.046822 0.953771 0.744407 1.000296 0.883983 1.186398 1.163135 1.256186 0.814195 0.837457 1.209661 0.930508 0.883983 0.767669 0.697881 0.953771 1.046822 0.581568 0.883983 0.860720 0.953771 1.070084 0.767669 1.163135 0.977034 1.186398 0.860720 1.256186 0.930508 0.907246 1.046822 0.977034 0.744407 1.000296 0.977034 0.977034 1.070084 0.907246 0.953771 0.930508 0.860720 1.000296 0.837457 1.093347 0.953771 1.093347 1.093347 1.325974 0.860720 1.116610 0.883983 0.977034 1.093347 1.232923 1.046822 1.023559 1.070084 0.837457 0.883983 1.046822 0.977034 0.907246 1.419025 0.930508 0.977034 0.697881 1.302712 0.767669 0.837457 0.860720 1.232923 0.837457 0.790932 0.767669 1.070084 1.232923 1.302712 1.116610 0.883983 0.883983 1.163135 0.883983 1.046822 1.186398 1.349237 1.046822 1.070084 0.837457 1.139873 1.325974 1.279449 1.209661 1.279449 0.907246 1.093347 1.139873 1.116610 1.000296 1.163135 0.977034 0.907246 1.000296 1.163135 1.163135 1.395762 0.814195 1.023559 0.860720 0.977034 1.163135 1.163135 0.790932 0.930508 0.721144 0.814195 0.814195 1.070084 0.977034 0.814195 0.837457 0.860720 1.000296 0.790932 0.651356 1.279449 0.953771 1.046822 0.860720 0.883983 1.232923 1.093347 1.163135 1.302712 1.163135 1.232923 1.046822 0.814195 0.907246 1.070084 1.000296 1.232923 1.070084 1.046822 1.325974 1.116610 0.977034 0.977034 1.070084 1.279449 1.070084 1.070084 0.930508 0.977034 0.860720 1.209661 0.930508 1.256186 1.046822 1.093347 1.256186 0.953771 0.977034 0.814195 0.883983 1.046822 1.209661 1.023559 1.046822 1.000296 1.093347 0.883983 1.302712 1.093347 1.093347 1.023559 1.046822 0.837457 1.000296 1.000296 0.744407 0.814195 0.977034 1.000296 0.721144 0.907246 1.163135 1.349237 0.953771 1.000296 1.000296 1.046822 1.419025 1.163135 1.302712 1.186398 1.256186 1.488813 0.977034 1.163135 1.139873 1.279449 1.628389 1.814491 1.674915 1.558601 1.349237 1.558601 1.302712 1.139873 1.093347 1.139873 1.186398 1.070084 1.070084 1.070084 0.977034 1.023559 1.325974 1.093347 1.163135 1.512076 1.279449 1.186398 1.302712 0.977034 1.186398 0.930508 1.000296 0.814195 1.163135 0.977034 1.256186 1.116610 1.163135 1.116610 0.860720 0.977034 0.907246 1.325974 1.209661 1.209661 0.837457 1.232923 1.139873 1.721440 1.442288 1.558601 1.279449 1.302712 1.442288 1.046822 1.395762 1.163135 1.116610 1.163135 1.000296 1.279449 0.907246 1.116610 0.953771 1.023559 0.790932 1.302712 0.814195 0.977034 1.163135 1.186398 0.953771 0.837457 1.139873 1.232923 1.256186 1.232923 0.907246 1.116610 1.186398 1.163135 1.023559 1.023559 0.907246 1.093347 1.488813 1.209661 0.977034 1.046822 1.186398 0.883983 1.419025 1.488813 1.349237 1.070084 1.256186 1.023559 1.163135 1.279449 1.163135 1.186398 1.419025 1.535339 1.372500 1.419025 1.186398 1.093347 1.116610 0.953771 1.232923 1.093347 1.163135 1.139873 1.395762 1.465550 1.000296 1.232923 1.093347 1.070084 1.116610 1.349237 1.000296 1.256186 0.837457 1.186398 1.232923 1.186398 0.930508 1.046822 1.186398 0.837457 1.116610 0.953771 1.349237 0.697881 1.465550 1.163135 1.139873 1.000296 0.814195 1.558601 1.116610 1.372500 1.116610 1.139873 1.465550 1.163664 1.163664 1.163664
2 Netherlands NL 1.141503 1.202524 1.184288 1.175871 1.165000 1.147465 1.161142 1.185690 1.124670 1.129930 1.082236 1.070313 1.081535 0.995615 1.012799 1.014553 0.992108 0.937751 0.961247 0.954234 0.899876 0.932841 0.910046 0.939855 0.897421 0.893213 0.998771 0.907241 0.900227 0.893564 0.873224 0.892161 0.886901 0.883394 0.886199 0.880237 0.911449 0.923373 0.940907 0.961598 0.943362 0.951077 0.993160 0.990355 0.944063 0.911449 0.984042 0.954234 0.967560 0.997369 1.010344 0.908994 1.020865 1.114500 1.078379 1.073820 1.122566 1.088198 1.064702 1.061545 1.163947 1.116955 1.105031 1.073820 1.061896 1.065052 1.055584 0.970365 0.964754 0.961598 0.965806 1.035243 0.936699 0.951428 0.940557 0.907241 0.918814 0.910748 0.914956 0.944414 0.921268 0.965456 0.891460 0.876731 0.897071 0.900578 0.947220 0.908644 0.906189 0.955636 0.876731 0.934595 0.940907 1.028931 0.962299 1.033841 0.957740 1.021216 1.017709 1.019813 1.034191 1.066806 1.097316 1.077327 1.167454 1.251270 1.275468 1.222864 1.271610 1.253374 1.208485 1.198315 1.167104 1.105382 1.071014 0.997018 0.974223 0.999473 0.969313 0.985445 0.951428 0.974223 0.971067 0.982640 0.982289 0.972119 0.947220 0.920216 0.926880 0.921268 0.943713 0.945817 0.883744 0.937751 0.901630 0.880237 0.931789 0.890758 0.892512 0.903383 0.901279 0.949324 0.952129 0.935998 0.926178 0.968963 0.948973 0.938452 0.955987 0.980886 1.022619 1.022969 1.012098 1.061545 1.128528 1.079781 1.117656 1.172364 1.177975 1.179729 1.165000 1.193406 1.231982 1.283534 1.294405 1.380675 1.435033 1.309134 1.202874 1.130982 1.066104 1.002980 0.967911 0.933893 0.927581 0.926178 0.913904 0.937751 0.973522 0.939504 0.896720 0.912150 0.918463 0.955987 0.936699 0.948272 0.970365 0.967911 0.962650 0.913553 0.916008 0.886199 0.916359 0.890408 0.948973 0.945466 0.984042 0.967911 0.960546 0.936699 0.987199 0.981237 0.968261 1.002629 1.019462 1.040855 1.058038 1.066455 1.017358 1.073820 1.143958 1.105382 1.114851 1.100823 1.116253 1.141153 1.129229 1.074872 1.112396 1.130982 1.067156 1.056636 1.016306 1.017709 1.064702 1.036646 0.984042 0.972119 0.989303 1.007539 0.957390 0.958793 0.928282 0.944063 0.994563 0.955636 0.968261 0.906890 1.054181 0.957740 0.921970 0.916359 0.917762 0.975976 0.895317 0.926529 0.904786 0.964754 0.952831 1.021216 1.009643 1.005435 1.001577 1.057337 1.073118 1.060143 1.067858 1.058389 1.108538 1.140802 1.061896 1.088198 1.179729 1.107135 1.068209 1.109590 1.120812 1.121514 1.037698 1.086445 1.089601 1.128528 1.267402 1.563386 1.783270 1.747149 1.510782 1.371207 1.186392 1.048219 0.973872 0.971417 0.958091 0.940557 0.943011 0.945466 0.932491 0.925126 0.918463 0.886550 0.937400 0.934945 0.926529 1.125371 1.001577 0.959143 0.944063 0.961598 0.954234 1.013851 1.052778 1.059792 1.129930 1.209187 1.293002 1.258634 1.255478 1.169559 1.194107 1.237944 1.267752 1.370856 1.356127 1.441345 1.453619 1.350165 1.354724 1.302471 1.281780 1.245308 1.238294 1.123969 1.088899 1.137646 1.067507 1.068209 1.113799 1.109941 1.101174 1.102576 1.094510 1.054882 1.058038 1.048570 0.983692 1.055584 1.011396 1.006487 0.937400 0.979133 0.994914 1.007539 0.973522 1.022619 1.037348 0.996317 1.016306 1.026476 1.002980 1.084691 1.023671 1.013501 1.077327 1.077327 1.074521 1.148517 1.188145 1.233735 1.328422 1.404522 1.470102 1.541292 1.533577 1.421356 1.322811 1.290898 1.203926 1.107135 1.119410 1.122215 1.152024 1.141854 1.185690 1.175520 1.134139 1.188145 1.264596 1.273363 1.249867 1.253374 1.233385 1.134489 1.101524 1.097667 1.096965 1.072417 1.025424 1.039802 1.033139 1.056285 1.099771 1.087847 1.042608 1.082587 1.116604 1.099771 1.038750 1.047167 1.080483 1.066455 1.043309 1.029983 0.988601 1.057688 1.124670 1.160090 1.162545 1.182183 1.161493 1.134489 1.112045 1.126423 1.196913 1.203926 1.269506 1.403120 1.472206 1.269155 1.415043 1.358231 1.290547 1.207433 1.270558 1.210239 1.244607 1.208485 1.230579 1.328071 1.289145 1.253374 1.185690 1.147465 1.074872 1.133437 1.018410 1.058740 1.052077 1.022268 1.042608 1.011046 1.083990 1.124670 1.059441 1.018060 0.976678 1.033841 0.974223 1.028931 0.976327 1.015605 1.025073 1.016306 1.003681 1.039452 1.023320 1.053479 1.081184 1.092406 1.086445 1.098719 1.195860 1.214798 1.233034 1.197614 1.156934 1.243204 1.258985 1.268454 1.363842 1.204628 1.300367 1.276169 1.345957 1.368050 1.410484 1.333332 1.263544 1.204978 1.239346 1.247763 1.195860 1.181482 1.210590 1.193406 1.199017 1.134139 1.164649 1.135191 1.062597 1.119410 1.095563 1.045414 1.044712 1.070313 1.101875 1.089601 1.068910 1.098719 1.058389 1.033841 1.054181 1.036296 1.070313 1.053129 1.046115 1.092406 1.029632 1.086094 1.106083 1.110993 1.167805 1.161142 1.108889 1.149227 1.149227 1.149227 1.149227
3 Liechtenstein LI 2.427835 0.809278 0.809278 0.809278 1.213918 1.011598 1.213918 0.809278 1.213918 2.427835 1.416237 1.011598 1.011598 1.011598 0.404639 0.404639 1.011598 1.011598 0.809278 0.606959 0.606959 0.606959 1.618557 0.809278 0.809278 0.606959 0.809278 1.011598 0.606959 1.416237 1.820876 0.809278 0.606959 1.011598 1.011598 1.011598 1.213918 0.809278 1.213918 1.416237 1.011598 1.213918 0.202320 1.213918 1.213918 1.416237 0.404639 0.809278 0.809278 0.809278 0.404639 0.404639 1.011598 2.225515 0.809278 2.225515 1.011598 0.606959 1.011598 0.606959 1.416237 1.011598 1.011598 1.213918 1.213918 0.404639 0.809278 1.213918 1.416237 0.606959 1.011598 1.213918 0.606959 0.809278 1.820876 0.404639 0.606959 0.404639 0.606959 0.000000 2.023196 1.618557 1.213918 1.416237 0.809278 1.011598 0.606959 2.225515 1.213918 0.404639 1.213918 0.809278 1.820876 1.011598 1.213918 0.809278 0.809278 0.809278 1.011598 0.404639 1.618557 0.809278 2.023196 1.011598 0.404639 1.416237 0.809278 1.011598 1.618557 1.011598 0.606959 1.011598 0.202320 1.416237 1.011598 1.820876 0.809278 1.011598 1.011598 0.404639 0.404639 1.011598 1.213918 0.404639 1.416237 0.404639 0.809278 0.606959 0.809278 1.820876 1.416237 0.404639 0.809278 0.404639 0.809278 0.809278 0.809278 0.606959 1.213918 0.404639 0.606959 0.606959 0.606959 1.213918 1.416237 1.618557 1.416237 1.011598 0.809278 1.213918 0.404639 1.213918 0.404639 1.820876 0.809278 1.416237 1.820876 0.809278 0.809278 2.023196 1.213918 0.606959 1.213918 0.809278 1.416237 0.809278 2.023196 1.213918 2.427835 1.213918 1.416237 1.011598 1.011598 0.606959 1.416237 0.202320 1.011598 0.404639 1.213918 0.809278 0.404639 1.416237 1.416237 0.404639 1.011598 1.011598 1.618557 1.213918 1.213918 0.809278 1.618557 1.213918 1.011598 1.213918 0.606959 1.213918 1.213918 0.404639 0.606959 0.202320 1.416237 0.606959 1.416237 1.416237 1.213918 1.011598 1.213918 1.011598 0.404639 0.809278 0.606959 0.404639 1.011598 0.809278 1.011598 1.416237 1.618557 1.011598 0.606959 1.213918 1.213918 0.809278 0.606959 1.416237 1.820876 1.213918 1.011598 0.404639 1.416237 1.618557 0.202320 1.416237 1.416237 0.202320 1.011598 1.618557 1.011598 1.011598 0.000000 1.416237 1.416237 1.213918 0.606959 0.404639 0.809278 0.606959 1.618557 0.809278 0.606959 1.213918 1.011598 1.011598 1.011598 1.011598 1.820876 1.618557 1.213918 0.202320 1.618557 1.011598 0.404639 0.606959 0.606959 1.011598 1.618557 0.202320 1.618557 2.023196 1.213918 1.011598 1.213918 0.606959 1.011598 1.416237 1.416237 1.213918 0.202320 1.011598 1.416237 1.213918 1.416237 0.404639 0.809278 0.809278 0.809278 0.809278 0.404639 1.820876 0.404639 1.011598 0.606959 1.011598 1.416237 0.809278 1.213918 1.011598 2.023196 0.404639 1.213918 1.416237 1.011598 1.618557 0.404639 1.416237 1.618557 1.618557 1.618557 2.023196 2.225515 1.820876 1.618557 2.225515 3.237113 2.832474 1.820876 1.011598 1.416237 0.809278 1.416237 1.011598 1.213918 1.011598 1.011598 0.404639 1.213918 0.404639 1.011598 1.213918 1.011598 1.618557 1.820876 1.011598 1.213918 0.809278 1.011598 0.809278 0.404639 0.809278 0.202320 0.809278 1.820876 1.011598 1.213918 0.809278 0.606959 1.011598 0.809278 1.213918 1.213918 0.809278 0.809278 0.404639 1.618557 0.404639 0.202320 1.820876 0.606959 1.213918 0.606959 1.213918 1.416237 1.618557 1.011598 1.213918 1.213918 1.618557 1.820876 1.618557 1.011598 1.820876 1.416237 1.618557 1.416237 1.416237 0.809278 2.023196 1.618557 1.213918 0.404639 0.606959 1.213918 1.011598 1.011598 1.011598 0.404639 1.213918 1.011598 0.202320 1.011598 0.809278 1.213918 1.416237 1.416237 1.011598 1.011598 1.416237 1.618557 0.202320 0.606959 0.809278 1.011598 0.809278 1.213918 1.618557 0.404639 0.404639 0.404639 1.011598 1.213918 1.213918 1.011598 1.618557 1.011598 0.606959 0.404639 0.606959 1.618557 1.820876 1.011598 1.416237 1.820876 1.416237 0.606959 1.011598 2.023196 0.809278 0.202320 0.606959 1.618557 2.023196 1.416237 1.011598 0.809278 0.606959 1.416237 1.213918 1.820876 0.202320 0.606959 1.213918 1.213918 0.404639 0.809278 1.416237 0.202320 0.202320 0.606959 0.809278 0.606959 1.416237 1.213918 0.809278 0.809278 1.618557 0.606959 0.606959 0.404639 0.202320 1.820876 1.416237 0.202320 1.213918 0.809278 1.820876 2.427835 0.809278 0.404639 1.618557 1.416237 0.606959 1.213918 1.011598 1.213918 0.809278 0.404639 2.225515 1.213918 1.820876 1.416237 1.011598 0.809278 1.213918 1.416237 1.011598 0.809278 2.630155 1.011598 1.416237 1.011598 0.809278 1.011598 1.820876 1.011598 2.427835 1.416237 0.606959 0.606959 1.213918 0.202320 1.011598 0.809278 0.809278 0.809278 1.213918 1.011598 1.416237 1.416237 1.820876 1.618557 1.011598 1.011598 0.606959 1.618557 0.404639 0.404639 0.202320 1.011598
4 Ireland IE 1.060675 1.171441 1.136197 1.097597 1.171441 1.141232 1.147945 1.174798 1.174798 1.164728 1.102632 1.087527 1.075779 1.035500 1.028787 0.973404 0.965013 0.971726 0.948230 1.020396 0.944873 0.944873 0.869350 0.929769 0.894525 0.871029 0.879420 0.886133 0.855924 0.792149 0.817324 0.899560 0.946552 0.941517 0.824037 0.953265 0.965013 0.855924 1.005291 0.916342 1.022074 0.993543 1.037179 0.973404 0.956621 0.958299 0.931447 0.909629 0.981795 1.070744 1.053962 1.053962 1.114380 1.188224 1.158015 1.178155 1.206685 1.090884 1.132841 1.129484 1.042214 1.111023 1.089206 1.069066 1.137876 1.038857 1.060675 1.040535 0.902916 1.008648 1.023753 0.928090 0.892846 0.946552 0.961656 0.933125 0.869350 0.855924 0.869350 0.881098 0.886133 0.948230 0.918021 0.829072 0.865994 0.901238 0.835785 0.889490 0.948230 0.939838 0.924734 0.963334 0.924734 0.938160 0.944873 0.990187 0.896203 0.958299 1.124449 1.032144 1.105988 1.169763 1.149624 1.163050 1.257034 1.347661 1.362766 1.347661 1.218433 1.107667 1.048927 1.062353 1.097597 1.025431 1.070744 0.970047 0.968369 0.943195 0.946552 0.936482 0.963334 0.991865 0.938160 0.929769 0.914664 0.948230 0.872707 0.840820 0.919699 0.923056 0.872707 0.906273 0.855924 0.877742 0.855924 0.904594 0.906273 0.842498 0.919699 0.941517 0.897881 0.980117 0.975082 0.912986 0.961656 0.993543 1.017039 1.055640 0.912986 1.003613 1.095919 1.003613 0.975082 1.069066 1.174798 1.151302 1.288921 1.369479 1.361087 1.384583 1.215077 1.292278 1.240251 1.213398 1.116058 1.194937 1.251999 1.114380 1.075779 1.087527 1.087527 1.003613 1.027109 0.975082 0.911308 0.849211 0.904594 0.988509 0.953265 0.912986 0.907951 0.845855 0.985152 0.978439 0.876064 0.923056 0.882777 0.845855 0.879420 0.822359 0.877742 0.918021 0.881098 0.943195 0.944873 0.914664 0.949908 0.949908 1.008648 0.944873 0.970047 1.069066 1.013683 1.010326 0.998578 1.032144 1.069066 1.025431 1.047248 1.112702 1.178155 1.085849 1.203329 1.183189 1.171441 1.144589 1.017039 1.070744 1.064031 1.000257 0.923056 1.022074 0.958299 1.035500 1.001935 0.954943 1.005291 1.050605 0.954943 0.949908 1.040535 0.892846 0.946552 1.033822 0.896203 0.965013 0.854246 0.877742 0.876064 0.830750 0.812289 0.894525 0.918021 0.939838 0.901238 0.944873 0.926412 0.949908 0.958299 1.000257 0.996900 1.013683 1.069066 1.001935 1.047248 1.097597 1.055640 1.072423 1.131163 1.216755 1.189903 1.188224 1.236894 1.087527 1.043892 1.072423 1.072423 1.112702 1.057318 1.048927 1.077458 1.043892 1.050605 1.141232 1.401366 1.507098 1.423184 1.278851 1.168085 1.097597 1.015361 0.921377 0.965013 0.872707 0.901238 0.876064 0.854246 0.805576 0.864316 0.943195 0.879420 0.802219 0.899560 0.889490 0.906273 0.907951 0.896203 1.015361 0.864316 0.902916 1.037179 1.006970 0.998578 1.045570 1.080814 0.975082 1.042214 0.978439 0.980117 1.020396 1.005291 1.035500 1.065710 1.136197 1.339270 1.540664 1.653109 1.648074 1.507098 1.418149 1.275495 1.132841 1.057318 0.986830 0.978439 1.001935 1.043892 0.956621 0.988509 1.000257 0.995222 1.060675 0.988509 0.963334 1.027109 0.954943 0.939838 0.865994 0.877742 0.990187 0.871029 1.006970 1.100954 0.954943 0.901238 1.032144 1.000257 0.970047 1.048927 1.085849 0.951586 1.047248 1.156337 1.077458 1.129484 1.144589 1.100954 1.245286 1.181511 1.114380 1.221790 1.179833 1.215077 1.158015 1.255356 1.152980 1.248642 1.111023 1.236894 1.164728 1.179833 1.156337 1.152980 1.169763 1.137876 1.171441 1.094240 1.144589 1.121093 1.216755 1.283886 1.146267 1.105988 1.006970 1.085849 1.129484 1.097597 0.996900 1.018718 1.062353 0.981795 1.065710 1.045570 1.050605 1.018718 1.042214 1.022074 1.058996 1.003613 1.027109 1.001935 1.037179 0.980117 1.053962 1.121093 1.080814 1.173120 1.124449 1.151302 1.144589 1.163050 1.203329 1.199972 1.205007 1.275495 1.361087 1.544020 1.658143 1.594369 1.538985 1.362766 1.272138 1.158015 1.193259 1.131163 1.111023 1.060675 1.262069 1.215077 1.132841 1.062353 1.127806 1.121093 1.087527 1.141232 1.084171 1.124449 1.057318 1.040535 1.055640 1.001935 1.114380 1.033822 0.983474 1.060675 1.010326 1.020396 0.985152 1.038857 1.010326 1.087527 1.116058 1.062353 1.057318 1.043892 1.052283 1.043892 1.173120 1.094240 1.213398 1.168085 1.094240 1.121093 1.136197 1.199972 1.072423 1.248642 1.282208 1.226825 1.218433 1.257034 1.295634 1.290599 1.413114 1.292278 1.184868 1.189903 1.168085 1.179833 1.228503 1.163050 1.166407 1.154659 1.124449 1.035500 1.196616 1.084171 1.149624 1.003613 1.079136 1.020396 1.017039 1.015361 1.000257 1.104310 1.100954 1.119415 1.017039 1.023753 1.043892 1.032144 1.030466 1.092562 1.017039 1.053962 1.023753 1.084171 1.053962 1.037179 1.163050 1.035500 1.131163 1.072423 1.032144 1.113159 1.113159 1.113159
5 Cyprus CY 1.134289 1.233314 1.395356 1.386353 1.305333 1.413360 1.206307 1.161296 1.287328 1.269323 1.359346 1.071273 0.972248 1.008257 1.098280 1.017259 1.152294 1.062271 0.954243 0.828211 0.855218 0.774197 0.837213 0.927236 0.882225 1.053268 0.729186 0.909232 1.008257 1.044266 0.999255 0.981250 0.837213 0.945241 0.828211 1.089278 0.900229 0.918234 0.873222 0.756193 0.657167 0.855218 0.891227 0.927236 0.792202 0.999255 0.954243 1.107282 0.981250 1.017259 1.116284 1.062271 1.035264 1.017259 1.098280 1.098280 1.125287 1.224312 1.188303 1.224312 0.828211 1.044266 0.801204 0.972248 0.963245 1.062271 1.107282 0.981250 0.810206 0.855218 0.918234 0.891227 0.855218 0.819209 0.720183 0.774197 0.711181 1.125287 0.819209 0.810206 0.936239 0.792202 0.864220 0.900229 0.918234 0.846216 0.765195 0.981250 0.810206 0.909232 0.972248 0.729186 0.819209 0.864220 0.792202 0.882225 0.990252 0.990252 0.972248 1.008257 0.963245 0.999255 0.963245 1.170298 1.359346 1.395356 1.584404 1.359346 1.449369 1.440367 1.575401 1.521388 1.287328 1.251319 1.224312 1.053268 1.341342 0.945241 1.125287 0.873222 1.107282 1.080275 0.936239 0.990252 0.873222 1.008257 0.981250 0.990252 0.765195 0.801204 0.981250 1.008257 1.188303 0.846216 0.909232 0.837213 0.945241 0.756193 0.810206 0.864220 0.729186 0.954243 0.666170 1.017259 0.864220 0.999255 0.936239 0.882225 0.900229 0.846216 1.071273 0.909232 0.909232 1.215310 0.999255 1.071273 1.017259 1.143291 1.080275 0.927236 1.179300 1.251319 1.476376 0.990252 1.359346 1.269323 1.161296 0.954243 1.116284 0.981250 1.116284 1.107282 1.080275 1.080275 1.053268 0.891227 0.810206 0.999255 0.855218 0.810206 0.765195 0.981250 0.837213 0.864220 0.891227 0.954243 0.981250 0.954243 0.855218 0.891227 0.981250 1.089278 0.765195 0.963245 0.972248 0.882225 0.945241 0.909232 0.945241 0.828211 1.017259 1.026261 1.062271 0.882225 1.080275 0.954243 1.053268 1.134289 1.035264 1.197305 1.431365 1.395356 1.422362 1.386353 1.440367 1.269323 1.233314 1.260321 1.170298 1.215310 1.035264 1.125287 1.035264 1.008257 1.125287 1.134289 1.215310 0.909232 0.990252 1.152294 1.242317 0.828211 0.909232 1.044266 0.873222 1.080275 1.206307 0.846216 0.675172 0.936239 1.116284 0.810206 1.026261 1.062271 0.972248 1.008257 0.792202 0.900229 1.017259 1.062271 0.936239 0.900229 0.954243 0.855218 1.062271 0.909232 1.197305 1.071273 1.089278 1.395356 1.044266 1.368349 1.413360 1.440367 1.413360 1.494381 1.341342 1.026261 1.305333 1.287328 1.071273 1.170298 1.251319 1.251319 1.188303 0.999255 1.098280 1.053268 1.089278 0.999255 1.251319 1.665424 0.972248 1.116284 0.828211 0.909232 0.963245 1.026261 0.990252 0.954243 1.044266 1.053268 0.819209 0.909232 0.972248 0.990252 0.855218 1.125287 0.909232 0.927236 1.017259 0.963245 0.963245 1.026261 1.017259 1.053268 1.152294 1.017259 1.233314 1.269323 1.404358 1.404358 1.278326 1.521388 1.530390 1.161296 1.269323 1.494381 1.422362 1.080275 1.278326 1.197305 1.125287 1.107282 1.233314 1.152294 1.242317 1.368349 1.494381 1.341342 1.323337 1.395356 1.017259 0.900229 1.089278 1.071273 0.990252 1.026261 1.008257 1.260321 1.197305 1.278326 1.359346 1.467374 1.575401 1.530390 1.215310 1.350344 1.314335 1.143291 1.197305 1.080275 1.152294 1.080275 1.179300 1.098280 1.026261 0.936239 1.233314 1.476376 1.251319 1.395356 1.305333 1.512385 1.386353 1.665424 1.737443 1.557397 1.890482 1.593406 1.791456 1.665424 1.566399 1.566399 1.314335 1.323337 1.458372 1.683429 1.791456 1.611411 1.359346 1.080275 1.260321 1.071273 1.035264 1.116284 1.062271 0.936239 0.945241 1.071273 0.936239 1.008257 1.026261 1.377351 0.972248 1.332339 1.026261 1.233314 0.900229 0.954243 1.062271 0.945241 1.044266 0.900229 1.035264 1.224312 0.882225 0.936239 1.152294 1.242317 1.125287 1.350344 1.089278 1.341342 1.224312 1.260321 1.305333 1.512385 1.449369 1.485378 1.323337 1.422362 1.341342 1.521388 1.422362 1.683429 1.620413 1.332339 1.242317 1.161296 1.008257 1.107282 1.053268 1.062271 1.206307 1.062271 1.017259 1.026261 1.035264 0.936239 1.143291 1.017259 1.035264 1.026261 1.008257 1.134289 1.260321 1.287328 0.936239 1.062271 1.053268 0.990252 1.035264 0.972248 0.945241 1.179300 0.972248 1.116284 1.026261 1.116284 1.053268 1.008257 1.107282 1.035264 1.071273 1.179300 1.134289 1.215310 1.170298 1.395356 1.449369 1.287328 1.422362 1.440367 1.440367 1.323337 1.161296 1.188303 1.170298 1.161296 1.107282 0.999255 1.035264 1.080275 0.999255 0.990252 0.918234 0.900229 1.143291 1.026261 0.999255 0.873222 1.143291 1.260321 1.044266 0.981250 1.026261 1.179300 1.215310 1.170298 1.026261 1.134289 1.017259 1.152294 0.900229 0.846216 1.062271 1.143291 0.963245 0.873222 1.026261 0.936239 1.062271 1.008257 1.143291 0.981250 1.095931
6 Luxembourg LU 1.038886 1.115840 1.026060 1.205620 1.282575 1.282575 1.179969 1.474961 1.128666 1.436484 1.077363 0.936280 1.128666 1.167143 0.961931 1.026060 0.923454 0.782371 0.872151 0.833674 0.795196 0.987583 0.910628 0.833674 0.974757 0.692590 1.115840 1.128666 0.884977 0.731068 0.936280 0.872151 0.910628 0.936280 0.897802 0.936280 1.026060 0.833674 0.897802 0.833674 0.872151 0.846499 0.936280 1.077363 0.949105 0.859325 1.000408 0.782371 0.756719 0.974757 1.064537 0.718242 1.064537 0.961931 1.038886 1.090189 1.064537 1.013234 0.923454 1.090189 0.833674 1.051711 1.167143 1.103014 1.167143 1.051711 1.000408 0.897802 0.910628 0.808022 0.974757 0.872151 0.987583 1.051711 0.923454 0.795196 1.038886 0.910628 0.628462 0.897802 1.026060 0.987583 0.949105 0.820848 0.884977 0.923454 0.884977 1.090189 0.910628 0.936280 0.782371 0.987583 0.884977 1.090189 1.026060 0.910628 0.923454 0.974757 1.051711 0.936280 1.013234 1.038886 1.103014 0.974757 1.192795 1.218446 1.577567 1.372355 1.295401 1.410832 1.179969 1.103014 0.910628 0.859325 1.141492 0.961931 1.141492 1.269749 1.244098 0.808022 1.064537 1.154317 0.949105 0.936280 0.808022 0.923454 0.820848 0.974757 1.103014 0.846499 0.923454 0.910628 1.090189 0.974757 1.064537 0.846499 0.756719 0.859325 0.910628 0.974757 0.961931 1.000408 1.013234 1.128666 1.000408 1.205620 1.026060 1.077363 1.077363 0.987583 0.961931 1.231272 0.897802 1.244098 1.000408 1.090189 1.231272 1.090189 1.282575 1.077363 1.090189 1.231272 1.474961 1.423658 1.436484 1.423658 1.731476 1.090189 1.205620 0.897802 0.961931 1.026060 1.064537 0.820848 0.859325 0.987583 0.961931 1.077363 0.679765 1.141492 0.949105 0.731068 0.987583 0.987583 0.808022 0.884977 1.128666 1.282575 1.218446 1.038886 0.743893 0.923454 1.128666 0.769545 0.769545 1.077363 1.167143 1.154317 1.103014 0.782371 1.064537 1.256923 0.897802 1.141492 0.923454 0.884977 1.090189 1.179969 1.038886 1.256923 1.051711 1.038886 1.064537 1.295401 1.359529 1.436484 1.141492 1.154317 1.064537 1.000408 1.064537 1.179969 0.987583 0.897802 1.000408 1.051711 1.038886 0.846499 0.987583 1.051711 1.026060 0.910628 0.859325 0.808022 1.179969 0.910628 1.103014 0.897802 0.923454 0.923454 1.051711 1.013234 0.833674 0.987583 0.936280 1.000408 0.923454 1.090189 1.064537 1.115840 0.795196 1.064537 1.321052 1.154317 1.308226 1.141492 1.141492 1.115840 1.141492 1.064537 1.218446 0.795196 1.090189 1.179969 1.103014 1.141492 1.154317 0.897802 1.090189 0.949105 1.179969 1.115840 1.115840 1.449310 1.167143 1.487787 1.128666 1.064537 0.884977 1.115840 1.026060 0.987583 0.987583 0.936280 0.897802 1.000408 0.859325 0.897802 0.936280 0.936280 0.910628 1.167143 1.192795 1.269749 0.923454 0.782371 1.103014 0.936280 1.115840 0.961931 1.051711 0.884977 1.115840 1.192795 1.256923 1.449310 1.500613 1.616044 1.718650 1.410832 1.616044 1.346704 1.500613 1.256923 1.308226 1.205620 1.141492 1.398007 1.192795 1.141492 1.179969 1.115840 1.103014 1.462135 1.487787 1.000408 0.987583 1.141492 0.936280 1.051711 1.192795 1.013234 0.808022 1.090189 0.872151 0.820848 1.026060 1.090189 0.884977 1.115840 1.000408 1.090189 0.859325 0.820848 0.961931 0.961931 0.808022 0.923454 1.077363 1.179969 0.923454 0.884977 1.154317 1.218446 0.859325 1.013234 1.449310 1.308226 1.295401 1.141492 1.282575 1.346704 1.154317 1.141492 1.398007 1.564741 1.256923 1.141492 1.051711 1.192795 1.154317 1.231272 1.256923 1.398007 1.167143 1.141492 1.077363 1.077363 1.167143 1.179969 1.103014 1.244098 1.205620 0.936280 1.013234 0.987583 0.808022 1.218446 0.923454 1.115840 0.936280 0.769545 1.090189 1.090189 1.026060 1.205620 1.115840 1.090189 1.141492 0.859325 0.872151 0.949105 1.051711 0.923454 1.064537 1.090189 1.192795 1.154317 0.987583 1.077363 1.038886 1.038886 1.179969 1.231272 1.103014 0.974757 1.179969 1.513438 1.744302 1.321052 1.141492 1.167143 0.961931 1.167143 1.051711 1.038886 1.026060 1.090189 1.231272 0.936280 1.141492 1.167143 1.103014 1.179969 0.923454 1.295401 1.205620 1.051711 0.936280 0.949105 0.910628 0.961931 0.974757 0.859325 0.949105 0.769545 0.923454 1.077363 1.013234 0.910628 1.077363 1.026060 0.987583 1.000408 1.115840 0.808022 1.218446 1.090189 1.269749 1.154317 1.038886 1.282575 1.295401 1.179969 0.974757 1.115840 1.231272 1.231272 1.218446 1.103014 1.154317 1.128666 1.192795 1.077363 1.115840 1.436484 1.154317 1.090189 1.179969 1.449310 1.205620 0.846499 1.115840 1.115840 0.949105 1.244098 0.974757 1.103014 0.846499 1.115840 0.936280 0.923454 0.987583 1.128666 0.833674 1.256923 1.333878 1.038886 0.949105 1.038886 0.974757 1.103014 0.961931 0.769545 1.077363 1.103014 1.115840 0.987583 1.218446 1.026060 1.141492 1.231272 1.154317 1.000408 1.086108 1.086108 1.086108
7 Germany DE 1.058196 1.090429 1.102700 1.093991 1.171463 1.182151 1.266408 1.315549 1.334436 1.244184 1.174516 1.131483 1.080419 1.055651 1.022909 1.024436 0.999102 0.967774 0.965399 0.946173 0.923440 0.916089 0.948718 0.920160 0.883234 0.913375 1.088676 0.981742 0.930056 0.920160 0.872660 0.941592 0.954599 0.861406 0.911395 0.885213 0.902065 0.906702 0.885948 0.929039 0.948661 0.952732 0.980611 0.949735 0.962685 0.939726 0.952789 0.950131 0.961837 0.964382 0.984400 0.971280 0.973203 1.044285 1.042701 1.053333 1.057857 1.045755 1.048469 1.045190 1.044737 1.070241 1.068092 1.072785 1.064586 1.052767 1.031674 1.001591 0.948604 0.964325 0.955730 0.996897 0.938765 0.920952 0.924345 0.893413 0.888776 0.956239 0.887758 0.917729 0.914506 0.960480 0.913657 0.873055 0.875770 0.919369 0.969641 0.910491 0.911339 0.925815 0.882499 0.923780 0.924684 0.985474 0.995201 0.994465 0.994126 1.005549 1.051297 1.012844 1.026133 1.062720 1.067922 1.095688 1.116498 1.182886 1.248030 1.200868 1.248765 1.336811 1.286144 1.282694 1.259113 1.183564 1.080193 1.055481 0.997519 1.002665 0.962911 0.955730 0.940801 0.997180 0.968623 0.980724 0.965795 0.930283 0.955786 0.896071 0.909699 0.951093 0.909077 0.928756 0.882329 0.938086 0.908059 0.932714 0.892565 0.913148 0.897993 0.908398 0.888154 0.913035 0.933336 0.947021 0.942328 0.987906 0.969188 0.964664 0.947869 0.982307 0.994918 0.999555 1.010921 1.034558 1.046377 1.046151 1.054746 1.093765 1.061419 1.085000 1.084095 1.105979 1.135837 1.201886 1.294287 1.443971 1.514205 1.378940 1.288010 1.182207 1.133123 1.083756 1.017424 0.966587 0.949396 0.974108 0.932375 0.933789 0.963533 0.945155 0.881142 0.895901 0.936955 0.939952 0.908738 0.944476 1.037103 1.151954 1.044907 0.955108 0.939387 0.904779 0.926833 0.921291 0.941592 0.903026 0.939952 0.960932 0.935994 0.939161 0.955390 0.995483 0.952393 1.005719 1.023023 1.037216 1.014653 1.073860 1.015275 1.056669 1.084039 1.083643 1.102982 1.120343 1.129900 1.139456 1.150709 1.175647 1.156591 1.119382 1.075330 1.049657 1.055821 1.009507 1.022909 1.011882 0.966417 0.968001 0.979141 0.965852 0.956861 0.989093 0.932149 0.940914 1.013240 0.935994 0.922818 0.953185 1.110051 0.963251 0.935315 0.901047 0.919652 0.997349 0.904101 0.921913 0.933054 0.984060 0.955616 0.998989 1.001647 0.979819 0.988924 1.009903 1.031561 1.048130 1.050731 1.082512 1.080137 1.077931 1.029413 1.067809 1.097497 1.071768 1.064642 1.118194 1.076574 1.111069 1.071768 1.102982 1.112143 1.122435 1.115253 1.112765 1.168409 1.159361 1.089185 1.049374 1.013353 0.998141 0.961384 0.970545 0.948661 0.976144 0.938765 0.927455 0.977897 0.930622 0.912809 0.935146 0.954938 0.985813 0.987906 1.115140 0.992939 0.941875 0.949396 0.970093 0.992712 0.986549 0.996049 0.989659 1.003966 1.051127 1.050901 1.074821 1.115536 1.141266 1.204713 1.278227 1.357338 1.398110 1.445045 1.441822 1.409137 1.387253 1.364464 1.282185 1.231235 1.184469 1.158853 1.073238 1.043606 1.052145 1.039026 1.042588 1.047282 1.067244 1.079967 1.090372 1.105810 1.093030 1.050618 1.007189 0.972242 1.028677 0.986322 1.078723 0.972129 0.962063 0.960989 0.998763 0.995992 0.973260 0.962515 0.992995 0.989659 0.969867 0.980611 1.067583 1.021100 1.026755 1.025171 1.029695 1.071541 1.117459 1.152858 1.155064 1.191538 1.263524 1.316058 1.367630 1.358978 1.301129 1.271158 1.253911 1.180171 1.126507 1.122209 1.143641 1.170445 1.158966 1.196853 1.152180 1.176835 1.201716 1.207711 1.200868 1.180906 1.184865 1.145281 1.107167 1.094839 1.087149 1.089411 1.049827 0.974447 1.023758 1.015615 1.045981 1.077762 1.049657 1.026642 1.075500 1.186788 1.147769 1.129391 1.121474 1.127129 1.073973 1.034502 1.061815 1.033484 1.081268 1.153707 1.166430 1.232196 1.233836 1.212913 1.127185 1.141605 1.177627 1.213026 1.259509 1.364237 1.468966 1.621930 1.543271 1.439956 1.284391 1.201830 1.168126 1.192216 1.161906 1.187296 1.181924 1.190520 1.240396 1.234345 1.206297 1.172255 1.129504 1.139852 1.123114 1.091955 1.077535 1.068544 1.039648 1.041401 1.019686 1.039874 1.009790 1.023362 0.964664 0.970828 1.004192 0.948831 0.959971 0.954825 0.988415 1.046038 1.026868 0.948435 1.026415 1.013805 0.983495 0.999216 1.030091 1.063285 1.102247 1.147430 1.153141 1.166091 1.178305 1.193121 1.247351 1.300959 1.283655 1.310120 1.251423 1.229482 1.208446 1.231235 1.249726 1.238756 1.258039 1.198663 1.141605 1.123962 1.092012 1.096592 1.058818 1.067131 1.078723 1.039365 1.024493 1.054124 1.070976 1.026020 1.057291 0.993052 0.988245 0.984965 1.005888 1.027660 1.080646 0.969867 1.022005 1.019969 0.967152 1.000177 0.982760 1.035689 0.972920 1.009507 1.040213 0.981063 1.054690 1.054351 1.057234 1.109768 1.126959 1.105357 1.091955 1.105414 1.150879 1.174799
8 Portugal PT 1.338403 1.453069 1.506834 1.469246 1.384079 1.365048 1.416433 1.277026 1.284163 1.164263 1.100983 1.086709 0.991075 1.036751 0.919706 0.921609 0.864039 0.865466 0.923513 0.909239 0.852144 0.927795 0.878788 0.855950 0.877837 0.821693 0.807419 0.858805 0.851668 0.833112 0.852620 0.861660 0.826927 0.850241 0.819314 0.857853 0.866418 0.808371 0.883070 0.910666 0.852620 0.860708 0.895441 0.895917 0.937311 0.882119 0.909715 0.970616 0.993454 0.952536 1.013913 1.000115 1.109072 1.104314 1.109547 1.168546 1.109547 1.080524 1.118587 1.115733 1.092419 1.137619 1.132385 1.088613 1.080524 1.053404 1.058638 1.030566 0.946351 0.963479 0.929698 0.879740 0.972995 0.937786 0.943496 0.906860 0.855950 0.911618 0.900675 0.910190 0.920182 0.931601 0.977277 0.886877 0.994881 0.894014 0.910666 0.891159 0.886877 0.812177 0.873079 0.881167 0.883070 0.894014 0.963955 0.937786 0.922561 0.970616 1.012010 1.045315 1.136192 1.124297 1.201851 1.336500 1.522535 1.601516 1.411675 1.370281 1.424998 1.301767 1.167118 1.127152 1.064347 1.012962 1.022477 1.023429 0.986793 0.958721 0.985366 0.967285 0.868321 0.904957 0.956818 0.878312 0.872127 0.914473 0.863563 0.868797 0.936835 1.017719 0.848813 0.854523 0.859281 0.851668 0.855950 0.836918 0.827403 0.847386 0.932553 0.814080 0.848337 0.856902 0.853095 0.925416 0.943496 0.893062 0.953488 0.919230 0.912569 0.908763 1.028187 1.031517 1.043412 1.172828 1.168070 1.194238 1.307001 1.356484 1.333645 1.334597 1.281308 1.246100 1.324130 1.339355 1.321275 1.263704 1.135716 1.128103 1.062920 1.120966 1.120015 1.082903 1.045315 1.007252 0.957294 0.937311 0.982987 0.943020 0.895917 0.940641 0.917327 1.001067 0.921134 0.839773 0.842628 0.864039 0.867845 1.070532 1.046267 0.922561 0.932553 0.840249 0.874030 0.854523 0.888304 0.869748 0.899247 0.920658 0.924464 0.949681 0.972043 1.010583 0.995833 0.985366 1.014389 1.022953 1.012962 1.070057 1.126200 1.247051 1.372185 1.420240 1.437368 1.379322 1.322226 1.289873 1.211367 1.161409 1.108120 1.074339 1.046267 1.015816 0.997736 1.014389 0.997260 0.991551 0.990124 0.945875 0.918755 0.913045 0.926843 0.875933 0.891159 0.911618 0.913045 0.895441 0.903054 0.866418 0.875933 0.876885 0.874506 0.841676 0.922085 0.894489 0.919706 0.860232 0.903529 0.866893 0.904481 0.884973 0.908287 1.013913 1.015341 0.997736 1.022002 1.062444 1.066250 1.012486 1.089564 1.086709 1.100507 1.189480 1.264180 1.314614 1.266559 1.276075 1.179013 1.083379 1.120966 1.095274 1.035800 1.117160 1.156651 1.208988 1.260849 1.238963 1.135716 1.098604 1.032469 1.031993 0.977277 0.983938 1.109072 0.959673 0.889256 0.921134 1.007728 0.979180 1.061492 1.259422 1.158554 1.052928 0.988696 0.921609 0.953488 0.986317 0.976801 1.060065 1.009631 0.899247 1.017719 1.022953 1.048170 1.056259 1.174255 1.215173 1.299864 1.287018 1.282260 1.354105 1.436417 1.389313 1.328888 1.502552 1.822284 2.195305 2.397517 2.289036 1.887468 1.612460 1.360766 1.204230 1.118112 1.016768 1.002494 0.977277 1.012486 0.948730 0.934456 0.910190 0.900199 0.971092 0.906860 0.873554 0.946351 0.893538 0.923988 0.943020 0.879740 0.925892 0.925892 0.975850 0.928746 0.939690 0.977753 0.990599 1.008204 0.989648 0.984890 0.945875 0.910190 0.963955 0.951109 1.009155 1.013913 0.969664 1.034372 1.013437 1.149514 1.171400 1.214222 1.296534 1.244197 1.185198 1.230399 1.203278 1.167594 1.211843 1.327460 1.325557 1.365048 1.281784 1.281784 1.172828 1.135240 1.158554 1.149514 1.167118 1.170449 1.144280 1.155223 1.095749 1.085758 1.048646 1.162836 1.115733 1.104789 1.132385 1.185674 1.269889 1.028187 1.018195 1.113829 1.299864 1.120015 1.092419 1.034848 0.991551 0.972519 0.969189 0.972043 0.968713 0.989648 1.000591 0.908287 1.011534 1.012962 0.996309 1.041509 1.058638 1.109547 1.113829 1.192335 1.262277 1.343161 1.385507 1.293203 1.285115 1.301767 1.235156 1.286542 1.251809 1.347443 1.356959 1.281308 1.202803 1.222310 1.208512 1.112402 1.051977 1.052928 1.017719 0.987269 1.018671 1.056259 1.011534 0.920658 0.993930 0.999639 0.998688 0.995833 0.957294 0.984414 0.954915 0.920658 0.936835 0.929698 0.935407 0.978229 1.051501 0.987745 1.090516 0.977753 0.977277 0.974898 0.972995 0.998688 0.984890 0.996309 0.964431 1.004873 1.006776 1.098128 1.042936 1.035800 1.100032 1.189480 1.206609 1.302719 1.609129 1.685732 1.547276 1.422619 1.238487 1.138571 1.110975 0.969664 1.041985 1.063871 1.146183 1.171876 1.139046 1.078145 1.130958 1.046743 1.053880 0.990599 1.017244 1.034848 0.987745 1.046267 1.064347 1.071960 1.009631 1.028187 0.977753 1.009631 1.020098 0.958721 1.079572 1.055307 0.986793 0.972995 0.982511 0.947778 0.880216 0.963955 1.017244 0.890683 1.001543 1.074541 1.074541 1.074541 1.074541 1.074541 1.074541 1.074541
9 Finland FI 1.060103 1.133517 1.126665 1.018012 1.039547 1.038568 1.070871 1.050315 1.102194 1.110025 1.023885 0.993541 0.991583 1.047378 1.052272 1.017033 1.051293 0.999414 0.987668 0.907401 0.919148 0.926978 0.888803 0.908380 0.966133 0.903486 0.994520 0.866289 0.883909 0.882930 0.864332 0.856501 0.933830 0.927957 0.938725 0.896634 0.945577 0.957323 0.918169 0.935788 0.960260 0.993541 1.022907 0.949492 0.943619 0.962217 0.938725 0.976900 1.060103 1.035632 0.997456 1.077723 1.088490 1.158968 1.166799 1.222594 1.159947 1.157989 1.142327 1.024864 1.026822 1.052272 1.001372 1.018991 1.073807 1.079680 0.959281 0.988646 1.039547 0.950471 0.956344 0.928936 0.942640 1.004308 0.958302 0.893697 0.926978 0.921105 0.976900 0.856501 0.919148 0.931873 0.934809 0.881951 0.900549 0.925021 0.987668 0.972006 0.970048 0.900549 0.995499 0.964175 0.965154 1.053251 0.972006 1.001372 1.018991 1.046399 0.982773 1.079680 1.018012 1.015076 1.049336 1.154073 1.287198 1.246086 1.305796 1.183439 1.121771 1.092405 1.081638 1.098279 1.098279 1.059124 1.025843 0.999414 1.040526 0.959281 1.036611 0.976900 1.032695 0.980816 1.055209 1.024864 0.978858 0.970048 0.960260 0.990604 0.999414 0.970048 0.969069 0.911317 0.901528 0.906422 0.919148 0.905444 0.933830 0.925021 0.881951 0.931873 0.979837 1.019970 0.918169 0.949492 1.010181 0.942640 1.006266 1.001372 1.009203 0.960260 0.948513 0.973964 0.964175 0.992562 1.027801 1.077723 1.083596 1.049336 1.067934 1.059124 1.106109 1.160925 1.086532 1.118835 1.148200 1.221615 1.197143 1.224551 1.190291 1.129602 1.216720 1.072828 1.086532 1.005287 1.001372 0.959281 0.952429 0.890761 0.906422 0.926000 0.902507 0.933830 0.927957 0.937746 0.963196 1.036611 1.023885 1.039547 0.898592 0.963196 0.923063 0.926978 0.921105 0.885866 0.974942 0.994520 1.037589 0.984731 0.959281 0.975921 1.000393 1.006266 0.961238 0.972985 1.021928 1.039547 1.043463 1.016055 1.169735 1.188334 1.101215 1.146243 1.110025 1.116877 1.145264 1.065976 1.035632 1.046399 1.061082 1.129602 1.024864 1.048357 1.010181 1.035632 1.001372 0.978858 1.066955 0.950471 0.971027 0.906422 0.899570 1.026822 0.913274 0.941661 0.876078 0.926978 0.961238 0.941661 0.999414 0.901528 0.937746 0.902507 0.969069 0.945577 0.964175 0.969069 0.983752 1.020949 1.023885 1.063040 1.025843 1.058145 1.074786 0.974942 0.989625 0.945577 0.994520 1.068913 1.021928 1.069892 1.045420 1.024864 1.046399 1.038568 1.018012 1.051293 1.091427 1.074786 1.067934 1.027801 1.082617 1.081638 1.098279 1.084575 1.086532 1.156031 1.070871 1.117856 1.107088 1.051293 1.080659 0.936767 0.969069 0.963196 0.981794 1.045420 0.999414 0.974942 0.924042 0.999414 0.943619 0.961238 0.933830 0.956344 0.994520 0.968090 0.958302 1.100236 1.023885 1.065976 0.956344 0.963196 1.051293 1.047378 1.108067 1.020949 1.003329 1.095342 1.084575 1.095342 1.082617 1.123729 1.105131 1.152116 1.080659 1.106109 1.178545 1.134496 1.079680 1.033674 1.135475 1.109046 1.067934 1.027801 1.066955 0.999414 1.030737 1.033674 1.011160 1.032695 0.987668 1.045420 1.092405 0.987668 0.974942 0.991583 0.960260 0.987668 1.057167 0.987668 1.068913 1.123729 0.993541 1.006266 1.040526 1.076744 1.058145 1.043463 1.056188 1.123729 1.041505 1.097300 1.110025 1.113940 1.161904 1.174629 1.105131 1.064997 1.136454 1.167777 1.203016 1.204974 1.272515 1.199101 1.209868 1.305796 1.250980 1.255875 1.373338 1.218678 1.286219 1.325374 1.238255 1.142327 1.218678 1.236298 1.216720 1.206932 1.248044 1.281325 1.250002 1.214763 1.203995 1.184418 1.135475 1.088490 1.058145 1.047378 0.999414 1.018991 1.043463 1.118835 1.066955 0.980816 1.086532 1.073807 1.090448 1.157989 1.164841 1.073807 1.037589 1.167777 1.205953 1.121771 1.148200 1.185397 1.205953 1.218678 1.224551 1.232382 1.209868 1.212805 1.250980 1.178545 1.332226 1.375295 1.414450 0.204581 1.338099 1.303839 1.215742 1.169735 1.169735 1.128623 1.124708 1.128623 1.080659 1.062061 1.082617 1.049336 1.125687 1.168756 1.134496 1.200080 1.111983 1.114919 1.116877 1.081638 1.096321 1.068913 1.083596 1.130581 1.026822 1.069892 0.965154 1.018012 1.025843 0.931873 1.005287 1.040526 0.990604 1.026822 0.984731 1.093384 1.082617 1.099257 1.095342 1.134496 1.182460 1.194207 1.239234 1.384105 1.409555 1.326352 1.451646 1.399767 1.367465 1.346908 1.384105 1.273494 1.313627 1.321458 1.218678 1.158968 1.171693 1.146243 1.111004 1.108067 1.095342 1.111004 1.088490 1.030737 1.046399 1.056188 1.102194 1.027801 1.050315 1.079680 0.982773 0.996477 1.025843 0.998435 0.971027 0.998435 0.979837 1.035632 0.983752 0.972985 1.040526 1.059124 1.007245 0.988646 1.079680 1.022907 1.087511 1.053251 1.072828 1.069892 1.170714 1.063040 1.117856 1.110025 1.054230 1.033674 0.997456 1.071371 1.071371
10 Norway NO 1.201054 1.250991 1.169043 1.190810 1.166482 1.149836 1.108862 1.192091 1.184408 1.249710 1.070449 1.005146 1.017951 1.006427 1.017951 0.994903 0.959050 0.878383 0.933442 0.905272 0.998744 0.916796 0.970574 0.955209 0.911674 0.962892 0.923198 0.887346 0.924478 0.856615 0.848932 0.896309 0.893748 0.937283 0.921918 0.953929 0.911674 0.960331 0.907833 0.980818 0.962892 0.948807 0.962892 0.953929 0.957770 0.964172 0.953929 1.064047 1.029475 1.044840 1.006427 1.066607 1.089655 1.113984 1.106301 1.202334 1.199773 1.128069 1.090936 1.057644 0.978257 1.117825 0.975696 1.021792 1.026914 0.971855 1.026914 0.989781 0.968013 0.966733 0.957770 0.910394 0.994903 0.912954 0.869419 0.856615 0.933442 0.928320 0.868139 0.968013 0.939844 0.878383 0.923198 0.907833 0.947526 0.918076 0.875822 0.925759 0.971855 0.915515 0.871980 0.947526 0.948807 0.936002 1.006427 0.991061 0.880943 1.037157 1.047401 1.094777 1.010268 1.048681 1.176725 1.181847 1.257393 1.288124 1.341902 1.188249 1.108862 1.170323 1.053803 1.081973 1.149836 1.105021 1.052523 1.030755 1.008988 0.968013 1.035877 0.993622 0.970574 1.044840 0.953929 0.938563 0.888626 0.941124 0.880943 0.927039 0.937283 0.970574 0.938563 0.968013 0.888626 0.959050 0.932161 0.884785 0.950087 0.901431 0.947526 0.936002 0.907833 0.901431 0.892467 0.912954 0.939844 0.978257 0.887346 1.015390 0.955209 0.901431 0.973135 1.012829 0.987220 1.065327 1.080692 1.148556 1.140873 1.202334 1.116545 1.210017 1.097338 1.128069 1.157519 1.189530 1.174164 1.161360 1.216419 1.110142 1.158799 1.033316 1.051242 1.058925 0.998744 1.000024 0.969294 0.944966 0.914235 0.886065 0.971855 0.915515 0.859176 0.900150 0.948807 0.994903 0.943685 0.924478 0.989781 0.869419 0.902711 0.888626 0.965453 0.915515 0.888626 0.903991 0.924478 0.911674 0.898870 0.915515 0.952648 0.891187 1.043559 0.993622 0.943685 0.921918 1.026914 1.053803 0.971855 1.026914 1.117825 1.116545 1.061486 1.039718 1.069168 1.138312 1.080692 1.170323 1.060205 1.051242 1.066607 1.071729 1.032035 1.012829 1.001305 0.969294 0.974416 1.024353 0.992342 0.991061 0.937283 0.948807 0.934722 0.905272 0.943685 0.928320 0.982098 0.942405 0.942405 0.950087 0.924478 0.933442 0.903991 0.939844 0.868139 0.997464 0.914235 0.906552 0.968013 1.049962 0.910394 1.008988 1.005146 1.016670 0.993622 1.005146 1.083253 1.005146 0.998744 1.089655 1.002585 0.991061 1.032035 1.103740 1.218980 1.071729 1.103740 1.044840 1.019231 1.096058 1.040999 1.070449 1.024353 1.058925 1.038438 1.093497 1.064047 1.076851 1.044840 0.994903 0.959050 0.950087 0.878383 0.947526 0.847652 0.866859 0.937283 0.946246 0.875822 0.892467 0.855335 0.965453 0.937283 0.955209 0.944966 0.941124 0.955209 0.895028 0.909113 1.006427 0.991061 0.951368 1.003866 0.951368 0.914235 1.019231 1.012829 0.994903 0.998744 1.024353 0.991061 1.011548 1.076851 1.053803 1.064047 1.076851 1.065327 1.111423 1.101179 1.090936 1.015390 1.042279 0.984659 0.969294 0.902711 1.012829 1.008988 0.984659 0.921918 0.998744 0.961611 0.964172 0.994903 0.891187 0.907833 0.947526 0.932161 0.929600 0.933442 0.878383 0.891187 0.923198 0.985940 0.919357 0.969294 0.956489 0.982098 1.000024 1.010268 1.005146 1.014109 1.006427 1.051242 1.047401 1.032035 1.032035 1.030755 1.084534 1.144714 1.175445 1.227943 1.175445 1.213858 1.239467 1.344463 1.253552 1.239467 1.189530 1.226663 1.167762 1.055083 1.056364 1.180567 1.137032 1.163921 1.270198 1.247150 1.193371 1.270198 1.265076 1.145995 1.216419 1.105021 1.078131 1.079412 1.069168 1.065327 1.080692 0.964172 1.032035 0.998744 1.035877 1.142153 1.030755 1.097338 1.129349 1.110142 1.028194 1.046120 1.015390 1.062766 0.992342 0.980818 1.062766 1.026914 1.084534 1.081973 1.043559 1.099899 1.093497 1.092216 1.110142 1.080692 1.130629 1.195932 1.181847 1.215139 1.316293 1.368791 1.455861 1.414887 1.375194 1.167762 1.138312 1.122947 1.092216 1.076851 1.079412 1.015390 1.071729 1.089655 1.090936 1.049962 1.012829 1.039718 1.075570 1.058925 0.991061 1.046120 0.911674 0.994903 1.034596 0.997464 1.025633 0.964172 1.065327 0.961611 0.964172 0.943685 0.962892 1.015390 0.970574 0.929600 0.965453 0.973135 1.035877 1.075570 1.044840 1.061486 1.001305 1.025633 1.094777 1.074290 1.115264 1.134471 1.180567 1.256113 1.176725 1.194652 1.172884 1.266356 1.166482 1.261234 1.240747 1.270198 1.174164 1.178006 1.122947 1.099899 1.115264 1.111423 1.081973 1.055083 1.044840 1.088375 1.015390 1.030755 1.030755 1.048681 1.030755 0.966733 1.028194 1.078131 1.017951 1.067888 0.992342 0.982098 1.019231 0.997464 0.952648 1.011548 1.014109 1.052523 1.012829 1.048681 1.021792 1.062766 1.133190 1.090936 0.983379 1.029475 1.035877 1.154958 1.099899 1.119105 1.057644 1.075570 1.103740 1.047401
11 Austria AT 1.100386 1.141715 1.186273 1.157213 1.186273 1.243746 1.286367 1.304448 1.215978 1.192085 1.138486 1.095220 1.113947 1.035809 1.009333 1.042267 0.999001 0.938298 0.937653 0.943465 0.901490 0.842079 0.927966 0.969941 0.829810 0.887283 0.960255 0.953151 0.952505 1.054536 0.933778 0.968649 1.092637 0.888574 0.953151 0.896969 0.934424 0.942173 0.910531 0.964775 0.909885 0.956380 0.967358 0.925383 0.942819 0.986085 0.959609 0.960900 0.974461 0.979628 0.993189 0.997709 0.992543 1.055182 1.050016 1.038392 1.019019 1.039038 1.065514 1.046787 1.020957 1.106843 0.989314 0.978982 0.968004 1.031935 1.008687 0.981565 0.912468 0.942819 0.934424 0.959609 0.938298 0.971878 0.905364 0.878242 0.870493 0.937653 0.864035 0.857578 0.854349 0.941527 0.919571 0.897615 0.877596 0.900198 0.909239 0.913114 0.891158 0.898907 0.888574 0.931195 0.948631 1.004812 1.037746 0.982856 0.958317 0.995126 1.043558 1.000938 1.033872 1.045496 1.078430 1.192730 1.394855 1.480742 1.511093 1.330279 1.251495 1.320592 1.210166 1.130091 1.166900 1.095220 1.042267 0.995772 0.991251 0.961546 0.992543 0.989314 0.952505 0.929904 0.986085 0.926029 0.969295 0.856932 0.940236 0.847245 0.917634 0.953151 0.916342 0.912468 0.869201 0.952505 0.887929 1.043558 0.861452 0.891158 0.950568 0.858223 0.851120 0.920863 0.908593 0.966066 0.956380 0.987377 0.938298 0.961546 1.001584 0.962192 0.971878 1.013853 0.988668 1.053891 1.003521 1.067452 1.062931 1.141069 1.189502 1.153339 1.106843 1.207583 1.251495 1.214686 1.259890 1.305094 1.268931 1.256661 1.059703 1.140423 1.044204 1.007395 1.005458 0.893095 0.926029 0.885991 0.866618 0.893095 0.913759 0.925383 0.898907 0.904719 0.913114 0.930549 0.906656 0.975753 0.939590 1.042913 0.989314 0.923446 0.942819 0.913114 0.888574 0.937653 0.917634 0.927320 1.002875 0.974461 0.960900 0.962838 1.008041 0.969295 1.004812 0.988668 0.984794 1.069389 1.050016 1.058411 1.090699 1.064223 1.104260 1.060348 1.106843 1.119113 1.160442 1.175295 1.131383 1.141069 1.170129 1.157213 1.046787 1.067452 1.037746 1.005458 1.006750 0.982211 0.945402 0.940236 1.006104 0.968004 0.966066 0.984794 1.006104 0.921509 0.942173 0.973816 0.864035 0.923446 1.006104 0.942173 0.907947 0.909239 0.938944 0.969295 0.920863 0.910531 0.938944 1.018373 1.005458 1.028060 0.966712 0.997709 0.991897 1.004812 1.006750 1.004812 1.024831 1.032580 1.077138 1.028060 1.057119 1.037746 1.091991 1.156567 1.144944 1.253432 1.081659 1.106843 1.109427 1.137194 1.119759 1.106843 1.180461 1.133966 1.175940 1.158505 1.091991 1.020311 0.950568 0.978982 0.955734 0.953797 0.910531 0.957671 0.940882 0.907947 0.925383 1.003521 0.889866 0.929258 0.933132 0.982856 0.921509 1.035163 0.947339 0.960900 0.980273 1.008687 1.007395 0.988668 1.015790 1.046141 1.040975 1.144298 1.217915 1.294116 1.474285 1.550485 1.567921 1.642830 1.600209 1.456203 1.370962 1.291533 1.261182 1.261827 1.293470 1.252787 1.201125 1.125571 1.107489 1.072618 1.019665 1.128154 1.091991 1.064869 1.142361 1.073264 1.093928 1.090699 1.091991 1.070035 1.033872 0.981565 0.959609 1.034518 1.005458 1.031935 1.066806 0.971233 0.948631 0.938944 1.016436 0.988022 0.939590 1.046787 1.046787 1.011916 0.995772 1.050662 1.020311 1.018373 1.081659 1.033226 1.053891 1.111364 1.218561 1.254724 1.325112 1.363213 1.389689 1.421332 1.369025 1.246329 1.198542 1.203708 1.133966 1.084242 1.172712 1.140423 1.157213 1.199834 1.237288 1.192730 1.263765 1.193376 1.238580 1.291533 1.261182 1.268285 1.170774 1.068743 1.089408 1.065514 1.016436 1.033872 0.988668 1.019019 1.026123 1.051953 1.066806 1.068743 1.031289 1.008041 1.192730 1.118467 1.072618 1.007395 1.088116 1.000938 0.938944 0.997063 1.026123 1.066806 1.115238 1.207583 1.139132 1.140423 1.181107 1.109427 1.119113 1.149464 1.126216 1.208875 1.227602 1.404542 1.474930 1.483971 1.520780 1.365796 1.186919 1.144298 1.140423 1.080367 1.139778 1.199834 1.192085 1.190147 1.167546 1.130091 1.091345 1.088762 1.078430 1.114593 1.057765 1.024185 1.040975 0.984148 0.990606 0.982211 0.953151 0.985439 1.014499 0.904073 0.976399 0.991897 0.989314 0.933778 0.918925 0.993189 0.995772 1.035163 0.908593 0.982211 1.020311 0.966712 0.964129 1.009333 1.047433 1.064869 1.132028 1.112010 1.129445 1.166254 1.171420 1.271514 1.206937 1.267639 1.332862 1.256661 1.256015 1.246329 1.231476 1.239871 1.220498 1.283138 1.195313 1.164317 1.138486 1.072618 1.039684 1.000938 1.061640 1.013853 1.020311 0.965421 0.995772 1.022894 0.930549 0.999001 1.011916 0.965421 0.999646 0.954443 0.990606 0.990606 0.948631 1.066160 1.017082 1.022248 1.026123 0.943465 1.088116 1.049370 0.985439 1.040330 1.041621 1.028706 1.083596 1.112655 1.179169 1.124279 1.081013 1.115238 1.070035 1.067423 1.067423
12 Denmark DK 1.111992 1.093245 1.078444 1.053777 1.071538 1.103112 1.091271 1.115938 1.161326 1.193886 1.168233 1.071538 1.078444 1.030097 1.066604 1.037990 0.921562 0.982736 0.964976 0.908735 0.961029 0.963989 0.946229 1.003457 0.900842 0.885055 0.929455 0.938335 0.904788 0.938335 0.934389 0.916628 0.940309 0.913668 0.889001 0.867294 0.900842 0.929455 0.950176 0.946229 0.914655 0.935375 0.983723 0.979776 0.958069 0.971883 0.972869 1.068578 1.090285 1.019243 1.010363 0.980763 0.972869 1.088311 1.050817 1.032070 1.109032 1.068578 1.026150 1.047857 1.109032 1.127779 1.133699 1.143566 1.059697 1.069564 1.009377 1.056737 0.996550 0.971883 1.028124 1.009377 0.922549 0.962016 0.940309 0.900842 0.907748 0.969909 0.885055 0.911695 0.886041 0.958069 0.949189 0.889988 0.943269 0.901828 0.958069 0.909722 0.942282 0.919588 0.891961 0.969909 0.897881 1.008390 1.026150 0.975829 0.989643 1.003457 1.031084 1.032070 0.996550 1.029110 1.052791 1.045884 1.133699 1.098178 1.096205 1.084365 1.089298 1.194873 1.085351 1.211647 1.140605 1.163299 1.086338 1.116925 1.111005 1.027137 0.974843 0.995563 0.954122 0.961029 1.044897 1.001483 1.008390 0.956096 0.943269 0.971883 1.009377 0.966949 0.925509 0.892948 0.928469 0.918602 0.912682 0.921562 0.919588 0.893935 0.940309 0.938335 0.905775 0.977803 0.965963 0.969909 0.964976 0.971883 0.957082 0.921562 0.963003 0.943269 1.055751 0.997536 1.013323 1.052791 1.087325 1.043911 1.118898 1.118898 1.120872 1.140605 1.104098 1.141592 1.170206 1.248154 1.243220 1.305382 1.319195 1.236314 1.268874 1.170206 1.122845 1.148499 1.037990 0.994576 0.996550 1.011350 0.998523 0.940309 0.963989 0.995563 0.928469 0.945242 0.902815 0.993590 0.958069 0.980763 1.076471 1.069564 1.015297 1.003457 0.976816 0.922549 0.962016 0.936362 0.980763 0.937349 1.019243 0.978789 0.945242 0.960042 0.993590 0.978789 0.941296 0.982736 0.980763 1.070551 1.030097 1.081404 0.992603 1.114952 1.139619 1.103112 1.070551 1.192900 1.233354 1.160339 1.095218 1.075484 1.037004 1.048844 1.025164 1.008390 1.070551 1.004443 1.032070 1.001483 1.052791 1.014310 0.961029 0.957082 0.969909 0.977803 0.956096 1.001483 0.988656 0.922549 0.940309 0.963989 0.954122 0.949189 0.923535 0.918602 0.992603 0.982736 0.969909 0.953136 0.993590 1.002470 0.959056 1.019243 0.984710 1.012337 0.941296 1.032070 1.023190 1.042924 1.080418 1.089298 1.092258 1.028124 1.024177 1.102125 1.134685 1.056737 1.019243 1.079431 1.064631 1.044897 1.020230 1.011350 1.046871 1.051804 1.124819 1.097191 1.140605 1.127779 1.063644 1.071538 1.034044 1.013323 0.938335 0.980763 0.955109 0.949189 0.986683 0.935375 0.970896 0.982736 0.944256 1.012337 0.931429 0.969909 0.944256 0.979776 0.981750 0.940309 0.971883 0.970896 1.067591 0.961029 0.982736 0.925509 0.994576 1.081404 0.965963 1.012337 1.082391 1.067591 1.082391 1.090285 1.080418 1.256047 1.195860 1.242234 1.217567 1.196846 1.253087 1.201780 1.189940 1.099165 1.047857 0.957082 0.961029 1.037990 0.955109 1.020230 0.960042 0.962016 1.015297 1.045884 1.000496 1.105085 1.032070 1.036017 1.018257 1.017270 1.038977 0.986683 0.992603 1.046871 0.943269 1.060684 1.037004 1.043911 1.118898 1.070551 1.034044 1.049831 1.037990 1.078444 1.036017 1.037004 1.123832 1.049831 1.145539 1.114952 1.122845 1.125805 1.126792 1.116925 1.192900 1.198820 1.249141 1.244207 1.268874 1.258021 1.332022 1.193886 1.163299 1.164286 1.192900 1.263941 1.250127 1.237300 1.213620 1.205727 1.173166 1.206713 1.182046 1.181059 1.143566 1.067591 1.113965 1.080418 1.004443 1.055751 0.980763 1.039964 1.032070 1.023190 1.100151 1.114952 1.014310 1.000496 1.086338 1.054764 1.076471 1.059697 1.132712 1.104098 0.979776 1.038977 0.988656 1.019243 1.085351 1.124819 1.070551 1.129752 1.088311 1.004443 1.076471 1.049831 1.128765 1.150472 1.192900 1.341889 1.402076 1.366556 1.345836 1.279728 1.170206 1.130739 1.153432 1.107058 1.134685 1.164286 1.108045 1.183033 1.158366 1.119885 1.090285 1.150472 1.114952 1.123832 1.099165 1.079431 1.124819 1.038977 1.000496 0.977803 1.003457 1.020230 1.056737 0.929455 1.058711 1.057724 0.985696 1.010363 1.004443 0.995563 0.997536 0.963989 0.989643 1.080418 1.017270 0.979776 1.037004 1.022204 1.058711 1.061671 1.113965 1.187966 1.100151 1.127779 1.116925 1.187966 1.237300 1.332022 1.300448 1.192900 1.201780 1.339915 1.224474 1.146526 1.159352 1.189940 1.169219 1.079431 1.084365 1.098178 1.089298 1.030097 1.023190 1.056737 1.094231 1.045884 1.080418 1.042924 0.984710 0.991616 1.037004 1.040950 0.952149 1.012337 0.993590 1.044897 1.000496 1.046871 1.003457 0.995563 1.037990 1.026150 1.006417 1.012337 1.049831 1.084365 0.986683 1.034044 1.038977 1.053777 1.104098 1.060684 1.047857 1.065182 1.065182 1.065182 1.065182
13 Slovenia SI 1.064106 1.061498 1.181471 1.171038 1.126701 1.095403 1.197119 1.163214 1.171038 1.001512 1.181471 1.087579 1.199728 1.157998 1.103228 1.095403 1.011944 1.009336 0.944133 0.852850 0.829377 0.868498 0.949350 0.847634 0.842417 0.808512 1.001512 0.983255 0.993687 1.024985 0.865890 0.868498 0.972823 0.878931 0.878931 0.821553 0.805904 0.938917 0.821553 0.889363 1.019768 0.923269 0.996295 1.064106 0.988471 0.980647 0.933701 0.985863 0.964998 1.129309 0.936309 0.905012 1.045849 1.176255 1.144957 1.071930 1.191903 1.131917 1.111052 1.098012 1.058890 1.113660 1.084971 1.071930 1.011944 1.150174 0.972823 0.884147 1.040633 0.915444 0.957174 0.933701 0.902404 0.925877 0.871107 0.905012 0.907620 0.873715 0.871107 0.905012 0.964998 0.813728 0.891971 0.831985 0.850242 0.925877 0.894579 0.972823 0.865890 0.946742 0.933701 0.925877 0.962390 1.017160 0.978039 1.030201 0.889363 0.975431 0.993687 0.954566 0.931093 1.027593 0.905012 1.077147 1.215376 1.249282 1.397943 1.528349 1.484011 1.562254 1.364038 1.215376 1.197119 1.144957 0.962390 1.035417 1.090187 1.077147 0.931093 0.907620 1.004120 0.967606 0.925877 0.933701 0.938917 0.905012 0.967606 0.907620 0.891971 0.907620 0.871107 0.962390 0.855458 0.923269 0.855458 0.905012 0.831985 0.923269 0.912836 0.991079 0.884147 0.886755 0.949350 0.975431 1.038025 0.964998 0.980647 0.912836 1.004120 0.991079 1.024985 1.019768 0.944133 1.040633 1.017160 1.035417 1.100620 1.045849 1.071930 1.038025 1.108444 1.191903 1.092795 1.277971 1.241457 1.335349 1.212768 1.249282 1.155390 1.124093 1.098012 1.017160 1.017160 1.043241 0.899796 0.957174 0.907620 0.920660 0.954566 0.938917 0.881539 0.923269 0.826769 0.839809 0.829377 0.975431 0.949350 1.040633 1.017160 0.878931 0.993687 0.951958 0.933701 1.019768 0.996295 0.891971 1.017160 0.967606 0.967606 1.087579 1.024985 0.907620 1.022377 1.001512 1.058890 1.061498 1.100620 1.113660 1.098012 1.223200 1.272754 1.254498 1.244065 1.343173 1.322308 1.236241 1.251890 1.228417 1.071930 1.191903 1.111052 0.993687 1.074539 0.897188 1.048458 1.011944 0.957174 0.933701 1.024985 1.030201 0.897188 0.816336 0.899796 0.957174 0.863282 0.910228 0.852850 0.915444 1.061498 0.949350 0.991079 0.899796 1.004120 0.886755 0.868498 1.011944 0.891971 0.954566 0.988471 1.009336 0.998904 0.962390 0.868498 1.004120 1.053674 0.944133 0.936309 1.137133 1.157998 1.139741 1.032809 1.095403 1.111052 1.121484 1.186687 1.241457 1.171038 1.309268 1.150174 1.124093 1.108444 1.139741 1.155390 1.017160 0.998904 1.105836 1.129309 1.022377 0.928485 0.993687 0.923269 1.056282 0.860674 0.899796 0.983255 0.975431 1.064106 0.967606 0.855458 0.918052 0.962390 1.024985 0.964998 1.022377 0.920660 0.889363 0.964998 1.024985 1.098012 0.923269 1.074539 1.082363 1.150174 1.340565 1.551822 1.627457 1.927388 1.906524 2.065618 2.089091 2.044753 1.870010 1.789159 1.721348 1.580511 1.627457 1.541389 1.382295 1.371862 1.134525 1.116268 1.225809 1.152782 1.157998 1.157998 1.105836 1.152782 1.058890 1.098012 1.194511 0.998904 1.017160 1.045849 1.064106 1.017160 1.079755 1.014552 1.032809 0.993687 0.998904 0.891971 0.884147 0.865890 0.978039 0.860674 0.920660 0.852850 0.871107 1.043241 1.090187 1.056282 1.103228 1.126701 1.074539 1.181471 1.228417 1.217984 1.424024 1.525740 1.530957 1.413592 1.536173 1.377079 1.304052 1.249282 1.288403 1.233633 1.288403 1.207552 1.259714 1.543997 1.418808 1.465754 1.217984 1.272754 1.244065 1.202336 1.126701 1.134525 1.121484 1.121484 1.150174 1.074539 1.001512 1.030201 1.022377 0.959782 0.993687 0.957174 0.964998 0.975431 1.077147 0.996295 0.991079 1.197119 0.991079 1.090187 1.129309 1.053674 0.998904 0.860674 0.925877 1.024985 0.928485 1.069322 1.084971 1.069322 1.019768 1.027593 1.064106 1.001512 1.160606 1.194511 1.142349 1.249282 1.288403 1.476187 1.426633 1.405768 1.317092 1.369254 1.098012 1.228417 1.087579 1.220592 1.191903 1.113660 1.069322 1.056282 1.163214 1.014552 1.019768 0.975431 1.061498 0.993687 1.027593 1.040633 0.938917 1.056282 0.972823 0.931093 0.972823 1.071930 0.996295 0.959782 1.121484 0.931093 0.983255 0.938917 0.964998 0.988471 1.017160 0.894579 0.894579 0.925877 1.040633 0.959782 1.004120 1.045849 1.134525 1.118876 1.087579 1.040633 1.111052 1.181471 1.095403 1.270146 1.298835 1.283187 1.314484 1.238849 1.191903 1.296227 1.270146 1.223200 1.439673 1.311876 1.171038 1.129309 1.098012 1.074539 1.030201 1.035417 0.998904 1.045849 0.980647 1.022377 0.928485 1.024985 0.954566 0.878931 0.905012 1.051066 0.894579 0.959782 0.944133 0.957174 1.064106 1.035417 1.035417 1.011944 1.082363 0.972823 0.842417 1.113660 0.938917 0.964998 1.116268 1.139741 1.058890 1.103228 1.095403 1.111052 0.985863 1.069322 1.098012 1.062972
14 France FR 1.133139 1.166123 1.134884 1.119527 1.177728 1.237762 1.301286 1.269612 1.205913 1.147711 1.091691 1.057050 1.038813 0.991344 0.999372 0.968046 0.958622 0.942218 0.933841 0.901468 0.891957 0.902166 0.928693 0.906180 0.880875 0.908274 0.995794 0.920403 0.908361 0.886808 0.867961 0.935848 0.887943 0.880526 0.899286 0.878606 0.907489 0.919530 0.929216 0.959408 0.988465 0.969268 1.004084 0.989163 0.957575 0.925639 0.932968 0.973718 0.989686 0.995707 0.997016 0.987854 1.048586 1.063071 1.068655 1.082268 1.052774 1.043874 1.052251 1.033665 1.025550 1.069092 1.060889 1.074065 1.056788 1.065601 1.031919 0.999634 0.953125 0.956615 0.968308 0.953823 0.939687 0.935411 0.895796 0.920839 0.886023 0.929303 0.899635 0.934713 0.907401 0.973980 0.882707 0.877908 0.875203 0.911939 0.938902 0.899897 0.909321 0.911154 0.916127 0.936546 0.951642 1.003037 1.012810 1.011675 0.993787 1.011501 1.040034 1.014991 1.015340 1.059929 1.091430 1.175721 1.279123 1.376678 1.392035 1.305039 1.311758 1.266470 1.191079 1.121098 1.067259 1.043612 1.020838 0.982008 0.959495 0.960629 0.949373 0.948675 0.952514 0.980960 0.968221 0.954696 0.948064 0.946406 0.905307 0.880090 0.901730 0.966475 0.866128 0.944225 0.901730 0.918745 0.908361 0.931223 0.884191 0.901032 0.928780 0.921276 0.874418 0.925900 0.989599 1.001379 0.979041 0.990384 0.966825 0.977383 0.981397 1.006527 1.016824 1.033141 1.048237 1.071360 1.119701 1.128776 1.196227 1.255563 1.209927 1.171795 1.107747 1.082791 1.129998 1.125112 1.167781 1.262893 1.273538 1.168130 1.128427 1.109754 1.070051 1.040994 1.031570 0.965167 0.952427 0.922933 0.931747 0.961938 0.936982 0.905045 0.894051 0.912201 0.971711 0.960804 0.917349 0.936982 0.976947 0.960018 0.959320 0.886808 0.926511 0.904260 0.938378 0.941083 0.939949 0.932706 0.986894 0.993962 0.960891 0.982357 0.997889 1.021972 1.001204 1.021448 1.030611 1.009319 1.023804 1.069790 1.062983 1.141691 1.187589 1.177728 1.215599 1.238984 1.249019 1.207920 1.198496 1.166036 1.108969 1.045008 1.030785 1.010454 1.023106 0.982008 1.007749 1.003473 0.968221 0.983316 0.976859 0.964469 0.933666 0.924504 0.922672 0.938640 0.995009 0.959844 0.921101 0.925464 1.014293 0.904958 0.924242 0.893266 0.925551 0.966214 0.904435 0.942130 0.972409 0.940560 0.976510 0.991431 0.996405 0.999285 1.016387 1.031396 1.046404 1.079563 1.069179 1.063594 1.087416 1.101639 1.085234 1.132528 1.172406 1.119963 1.098149 1.115775 1.104693 1.091517 1.056177 1.071535 1.082966 1.117782 1.239507 1.434356 1.662450 1.551980 1.366294 1.138375 1.006440 0.986632 0.960629 0.992653 0.933317 0.928518 0.929827 0.934452 0.993089 0.897541 0.923981 0.906965 0.944312 0.973107 0.961065 1.054519 0.940123 0.943003 0.952165 1.002862 1.058271 0.974329 1.061762 1.058533 1.086718 1.218391 1.298581 1.386189 1.373449 1.332700 1.306871 1.292910 1.290728 1.253643 1.232876 1.280868 1.306784 1.303642 1.347272 1.312194 1.284184 1.260711 1.258617 1.190294 1.155827 1.144221 1.158095 1.142825 1.179386 1.159666 1.165948 1.179474 1.136630 1.114902 1.029389 1.005306 0.991780 0.972235 0.960280 0.973980 0.886285 0.911066 0.945097 0.927558 1.032617 0.961676 0.963509 1.059929 1.041343 1.010541 1.047015 1.067434 0.988552 0.984800 1.017173 1.023281 1.081744 1.071797 1.096229 1.045008 1.083140 1.096316 1.146315 1.201375 1.246401 1.238199 1.304602 1.312194 1.302159 1.305737 1.299629 1.351984 1.355823 1.282090 1.229036 1.139335 1.146315 1.125373 1.108969 1.110103 1.145268 1.168304 1.178776 1.133488 1.084275 1.077032 1.032268 1.013508 0.932794 0.995096 0.951903 1.020314 0.987941 0.942567 1.031658 1.117956 1.166472 1.047975 1.069528 1.086718 1.016911 1.001117 0.996492 0.973282 0.979826 1.034014 1.078952 1.108794 1.109754 1.123192 1.077207 1.045444 1.083227 1.143349 1.162720 1.186018 1.307744 1.394915 1.498665 1.471790 1.376416 1.258094 1.207571 1.188548 1.157135 1.151115 1.132790 1.115600 1.114902 1.132878 1.098847 1.045183 1.036806 1.039773 1.045968 1.063332 1.053996 1.020838 0.982706 0.987243 1.022234 1.007662 1.015166 0.979913 0.961764 0.912637 0.951205 0.954696 0.938989 0.947279 0.913859 0.990559 0.996929 1.031745 0.990995 1.028342 0.988901 0.963770 1.007051 1.015689 1.041256 1.070488 1.117695 1.101726 1.101377 1.097014 1.107398 1.164640 1.230520 1.217344 1.230084 1.249193 1.286453 1.266296 1.289507 1.263940 1.210101 1.187938 1.151202 1.117084 1.104082 1.099545 1.092826 1.033577 1.045706 1.035410 1.038377 0.992304 1.045444 1.027207 1.012810 0.987854 0.990908 0.968308 1.022234 0.994311 1.019092 1.016038 0.953648 1.004433 0.998848 0.957313 0.988552 0.982880 0.980960 0.952165 0.982793 0.953038 0.958273 1.057137 1.041431 1.093000 1.116909 1.103384 1.051989 1.012723 0.986109 1.054981 1.054981
15 Spain ES 1.201995 1.303361 1.343782 1.329641 1.382326 1.336774 1.358674 1.324010 1.258685 1.178969 1.099378 1.048571 1.046944 1.036432 0.987876 0.982996 0.976363 0.921676 0.934065 0.943951 0.905282 0.888012 0.921551 0.895020 0.870492 0.889890 1.019412 1.045067 1.021665 0.975863 0.919674 0.903405 0.885384 0.851095 0.870242 0.826317 0.833450 0.828069 0.863234 0.852597 0.882882 0.890891 0.909412 0.925055 0.927558 0.916670 0.925680 0.982245 1.011153 1.005146 1.043940 1.005021 1.054577 1.083485 1.085112 1.100129 1.062586 1.058832 1.070721 1.061085 1.084987 1.081858 1.082860 1.102632 1.037558 1.048070 1.000891 0.983496 0.949708 0.933815 0.951835 0.922802 0.942700 0.914042 0.907910 0.948081 0.893519 0.897648 0.919173 0.939196 0.928934 0.923178 0.912916 0.929184 0.905157 0.888763 0.899025 0.888513 0.901403 0.831073 0.870492 0.880504 0.885009 0.880504 0.899150 0.940072 0.906534 0.972984 1.010652 1.012404 1.041312 1.016659 1.077729 1.123781 1.233281 1.342280 1.428379 1.418367 1.385079 1.331018 1.208878 1.128412 1.084987 1.047569 1.027797 0.989378 0.985499 0.979492 0.977865 0.976113 0.947831 0.958718 0.941073 0.953837 0.937819 0.959344 0.887512 0.884383 0.978491 1.000015 0.893143 0.895521 0.902779 0.908411 0.889764 0.950584 0.899275 0.890766 0.903405 0.877626 0.835953 0.842210 0.887387 0.921926 0.924554 0.905282 0.925055 0.914543 0.939947 0.955089 1.009025 1.022291 1.033303 1.078730 1.159071 1.204874 1.302986 1.402099 1.364681 1.374192 1.291973 1.238037 1.253304 1.264567 1.208378 1.201245 1.151688 1.109014 1.078229 1.079731 1.052950 1.043064 1.015157 0.967979 0.920925 0.950459 0.939947 0.941949 0.914292 0.889639 0.895271 0.965225 0.963348 0.914167 0.921801 0.899275 0.895396 0.967478 1.001517 0.900276 0.877876 0.866863 0.864235 0.855225 0.895146 0.904782 0.902279 0.930686 0.919799 0.916920 0.975362 1.002643 1.001016 0.992632 0.992256 1.007524 1.040186 1.054577 1.082484 1.142177 1.254555 1.310995 1.269072 1.246922 1.212132 1.171711 1.153315 1.116273 1.075601 1.026796 1.004520 1.022541 1.012029 1.008024 0.976238 0.970982 0.969105 0.967478 0.943075 0.930561 0.953337 0.939571 0.878001 0.926556 0.947330 1.007399 0.933940 0.913667 0.934065 0.893018 0.915669 0.892017 0.865987 0.863234 0.863985 0.868365 0.875498 0.879378 0.873246 0.915043 0.915294 0.943951 0.963348 0.960720 1.005647 1.028297 1.042188 1.003769 1.043690 1.050323 1.042814 1.089993 1.176091 1.241040 1.245670 1.248173 1.150312 1.106136 1.052825 1.048571 1.059333 1.186478 1.607207 2.481329 2.623867 2.168097 1.657390 1.307991 1.127285 1.058457 0.943075 0.956465 0.953587 0.894019 0.857102 0.880003 0.940072 0.955464 0.967603 0.946329 0.979492 1.074850 1.050448 1.022416 0.986875 0.995385 0.973235 1.000891 1.022165 1.009151 1.024668 1.075351 1.075476 1.185101 1.200869 1.290972 1.255181 1.213258 1.193110 1.193986 1.193110 1.162200 1.128161 1.191859 1.310244 1.483942 1.620598 1.589437 1.448026 1.297479 1.187354 1.130289 1.068969 1.040937 1.010777 1.024793 1.025544 1.011153 0.994509 1.011653 0.984497 1.008900 0.968354 0.951835 0.930686 0.920174 0.964850 0.975988 0.911664 0.945703 0.944076 0.946454 1.061335 1.046443 1.081483 1.108764 1.097001 1.027922 0.993132 0.988001 0.939071 0.929810 0.944577 0.941824 0.949332 0.969105 1.023542 0.978741 1.090869 1.100380 1.107012 1.174589 1.128412 1.189231 1.223895 1.232030 1.239413 1.329766 1.353418 1.397343 1.357548 1.260312 1.161449 1.112143 1.083360 1.062211 1.068093 1.061961 1.061585 1.084361 1.084987 1.048445 1.059708 1.060960 1.101256 1.111392 1.025419 1.015658 1.018661 1.164828 1.066216 1.071972 1.134669 1.358549 1.372189 1.242041 1.180971 1.157445 1.011153 1.020413 0.956716 0.952961 0.946955 0.918422 0.937944 0.992507 0.968980 1.015533 0.989128 0.956465 1.024543 1.049947 1.063462 1.123906 1.179094 1.184601 1.216011 1.208628 1.242041 1.258310 1.239163 1.215636 1.272326 1.274703 1.230403 1.207502 1.200994 1.211131 1.117900 1.049071 1.039936 1.012655 1.023542 1.003769 1.015908 0.950584 0.943200 0.945453 0.971608 0.944702 0.957216 0.949082 0.930686 0.965851 0.928434 0.960595 0.980243 0.937569 0.954463 0.965976 0.977489 1.081608 0.981744 0.953337 0.916920 0.922051 0.938320 0.978115 0.948456 0.949833 0.964600 0.959719 1.017911 1.038309 1.016909 1.077604 1.060584 1.130164 1.232655 1.363555 1.486820 1.473680 1.410608 1.234407 1.102632 1.122780 1.081483 1.059708 1.057330 1.107888 1.098628 1.082734 1.019162 1.055453 1.027171 1.029549 1.020288 0.982120 1.047569 0.984497 0.998013 1.010027 1.015658 0.966101 0.974361 0.996887 0.970732 1.004896 1.004896 1.010027 1.062712 1.050698 0.988252 0.940698 0.946830 0.904656 0.912165 0.943576 0.940823 0.972734 0.973860 0.978365 0.990254 1.033553 1.021665 1.006648 1.024168
16 Switzerland CH 1.116285 1.171981 1.195515 1.160999 1.247289 1.299064 1.415948 1.390061 1.356329 1.215127 1.208851 1.125698 1.014305 1.021365 0.964100 1.007245 0.953117 1.000185 0.910757 0.903696 0.885654 0.862120 0.918601 0.917032 0.862905 0.938997 1.015874 1.065295 1.015874 0.920955 0.894283 0.953117 0.937428 0.903696 0.919386 0.902912 0.931937 0.886438 0.931937 0.968807 0.916248 0.957040 0.943704 1.008814 0.917032 0.940566 0.986065 0.984496 1.025288 0.972729 0.947626 1.015090 1.033917 1.051175 0.975082 1.037839 1.059804 1.055097 1.051175 1.029994 1.082553 1.035486 1.062942 1.002538 1.015090 0.995478 0.974298 0.960177 0.893498 0.921739 0.919386 0.901343 0.922523 0.962531 0.902128 0.866042 0.873103 0.970375 0.919386 0.856629 0.913110 0.968807 0.926446 0.873103 0.902128 0.914679 0.887223 0.891930 0.928799 0.865258 0.925661 0.950764 1.008814 0.997047 1.001754 0.964884 1.029994 1.008814 1.061373 0.935859 1.044115 1.015090 1.020581 1.134327 1.246505 1.316322 1.357898 1.369665 1.299848 1.226893 1.248858 1.099811 1.084906 1.094320 1.057450 0.989987 0.971944 0.928015 0.968022 0.942135 0.926446 0.959393 0.949195 0.944488 0.946842 0.930368 0.883301 0.869180 0.878594 0.938213 0.914679 0.908403 0.852707 0.902912 0.879378 0.941350 0.862120 0.884869 0.946842 0.913110 0.904481 0.933506 0.992340 0.975082 1.015874 0.994694 0.949195 0.952333 0.904481 1.029210 0.981358 1.033917 1.095104 1.090398 1.064510 1.142172 1.078631 1.224540 1.208851 1.171981 1.095889 1.095889 1.130405 1.143741 1.159430 1.283374 1.201791 1.162568 1.082553 1.057450 1.050390 1.019796 0.964100 0.899774 0.961746 0.941350 0.876240 0.959393 0.909188 0.924092 0.877809 0.884085 0.926446 0.903696 0.845647 0.959393 0.958609 0.991556 0.958609 0.931153 0.898205 0.946057 0.924092 0.964884 0.923308 0.950764 0.960962 0.967238 0.949980 0.967238 0.997831 0.990771 0.979004 1.004107 1.036270 1.089613 1.063726 1.037054 1.058235 1.051959 1.089613 1.065295 1.100596 1.128836 1.161783 1.219833 1.197868 1.197868 1.139034 1.081769 1.059804 1.037054 1.084122 0.958609 1.026072 0.967238 0.985280 0.993125 0.955471 0.997047 0.976651 0.981358 0.918601 0.949195 0.975082 0.986849 0.960962 0.946057 0.988418 0.893498 0.892714 0.895852 0.982142 0.899774 0.919386 0.982142 1.016659 0.970375 0.968022 1.002538 1.018227 1.025288 0.960177 0.991556 1.070786 1.044115 1.078631 0.955471 1.072355 1.099027 1.042546 1.029210 1.069217 1.105302 1.107656 1.113931 1.088829 1.082553 1.072355 1.055881 1.061373 1.090398 1.197868 1.270039 1.470076 1.289650 1.231600 1.073924 0.978220 0.923308 0.902128 0.932721 0.861336 0.914679 0.900559 0.898990 0.921739 0.921739 0.914679 0.869965 0.902912 0.992340 0.912325 0.958609 0.946842 0.913894 0.913894 0.981358 0.968022 0.976651 0.969591 1.035486 0.993909 1.158646 1.307693 1.602649 1.649717 1.654423 1.616769 1.655992 1.654423 1.607356 1.467722 1.318675 1.495178 1.404966 1.381432 1.263763 1.128836 1.106087 1.019012 1.029210 1.004892 1.009598 0.963315 0.997047 0.975867 0.987634 0.982927 0.981358 1.000185 0.956255 0.987634 0.934290 0.948411 0.954686 0.871534 0.942135 0.934290 0.932721 0.918601 0.928799 0.956255 0.914679 0.917817 1.033132 0.984496 0.973513 1.048037 1.050390 1.055881 1.026072 1.035486 0.979789 1.029210 1.048821 1.078631 1.033132 1.121776 1.188455 1.246505 1.346131 1.404966 1.341424 1.244152 1.282590 1.215127 1.193946 1.171981 1.160999 1.160214 1.154723 1.239445 1.135112 1.159430 1.171197 1.221402 1.228462 1.221402 1.153154 1.058235 1.080984 1.016659 0.995478 0.973513 1.012736 0.952333 0.946842 0.954686 1.066079 1.088044 1.060588 1.055097 1.070002 1.169628 1.182179 1.073140 1.054313 1.037839 1.046468 0.968022 0.993909 1.023719 0.961746 1.157861 1.119423 1.142172 1.074708 1.134327 1.097458 1.104518 1.130405 1.171197 1.230031 1.282590 1.327304 1.400259 1.323382 1.313184 1.208851 1.192377 1.146879 1.077062 1.091967 1.119423 1.082553 1.120992 1.157861 1.135112 1.114716 1.049606 1.044115 1.044899 1.033132 1.083337 1.045683 0.981358 0.955471 0.975867 0.952333 0.968807 0.937428 0.944488 0.957824 0.925661 0.984496 0.993125 0.957040 0.971944 0.982927 1.079415 1.099027 0.983711 1.064510 1.000969 0.956255 0.979004 1.026856 1.033132 1.115500 1.145310 1.123345 1.179041 1.233954 1.200222 1.274745 1.266901 1.229247 1.225325 1.186886 1.187671 1.213558 1.182964 1.180610 1.118638 1.186102 1.128836 1.150801 1.130405 1.116285 1.125698 1.000969 0.983711 1.015874 1.036270 1.019012 1.068433 1.059804 0.993909 0.941350 0.968807 0.966453 0.980573 0.955471 1.000969 1.034701 0.992340 0.988418 0.997047 1.004892 1.006461 1.010383 1.041761 0.986849 1.042546 0.965669 0.989202 1.017443 1.015874 1.055881 1.021365 0.976651 1.044301 1.044301 1.044301 1.044301 1.044301
17 Greece EL 1.136128 1.294198 1.311379 1.316534 1.193257 1.144719 1.095751 1.155457 1.198411 1.129255 1.094033 1.055375 1.020582 1.026596 1.034327 1.042059 0.962165 0.982353 0.999535 0.865519 0.891291 0.833733 0.897734 0.905037 0.960017 0.825572 0.823424 0.975481 0.943695 1.049361 1.064825 1.018864 0.963024 0.893869 0.882701 0.977628 0.876257 0.851344 0.824283 0.794216 0.902459 0.883130 0.890003 0.945843 1.003830 1.014998 0.967749 0.954433 0.915345 0.990515 1.025307 1.065254 1.103483 1.132692 1.133121 1.117228 1.139135 1.137846 1.114222 1.046355 0.951427 0.918782 0.965601 0.968608 0.938541 0.970326 0.977199 0.956581 0.902030 0.893869 0.964742 0.948849 0.911050 0.870673 0.944554 0.858646 0.934245 1.251674 0.995669 0.925654 0.938970 0.856069 0.981494 0.998246 0.950138 0.911480 0.880123 0.864660 0.876687 0.846619 0.808390 0.847049 0.893869 0.879264 0.920070 0.935104 0.922648 1.008985 0.963883 1.044207 1.036475 1.063107 1.036905 1.166625 1.234922 1.471168 1.580700 1.444966 1.323836 1.289473 1.198411 1.149014 1.083724 1.030462 1.033039 1.049791 1.055804 0.967749 1.014998 1.014998 1.016716 0.998676 0.972904 0.927373 0.871962 0.864660 0.950138 0.911050 0.917493 0.932097 1.173498 1.091886 1.038623 0.897734 0.920500 0.990944 1.170921 0.982783 0.881412 0.891721 0.848767 0.902030 0.850485 0.827290 0.891721 0.938541 0.957870 0.926513 0.950997 0.992233 0.973333 0.996099 1.003401 0.978488 1.054516 1.016716 1.072127 1.088020 1.053657 1.007267 1.094463 1.118946 1.098329 1.060529 1.070838 1.121094 1.087590 1.037334 1.000824 1.015857 1.005548 1.008985 0.996099 0.934245 0.956152 0.850485 0.907184 0.868096 0.954863 0.988796 0.939829 0.893439 0.878405 1.014139 0.927802 1.011991 0.942836 0.958299 0.982783 0.981494 0.970756 0.935534 0.943265 0.886137 0.902030 0.868526 0.934675 0.963883 0.929520 0.971185 0.988367 0.958729 1.027455 1.047214 0.993092 1.052798 1.075134 1.088879 1.130544 1.162330 1.333715 1.305366 1.228479 1.242653 1.190679 1.100906 1.142571 1.189391 1.082006 1.060959 1.027025 1.001683 1.036475 0.993092 0.953574 1.032180 1.013710 0.997817 0.974192 0.949279 0.979776 0.981494 1.093604 1.020582 1.039052 1.021012 0.969897 0.900741 1.003830 1.024878 1.027025 1.014139 0.972474 1.011991 0.911480 0.895157 0.906325 0.896446 0.926943 0.889144 0.911909 0.932097 0.980635 0.989226 0.951856 0.951856 1.028743 1.078999 1.057952 1.050220 1.056234 1.180800 1.249956 1.229767 1.190679 1.284319 1.223754 1.194975 1.060959 1.092315 1.135698 1.115081 1.095322 1.047643 1.054086 1.014569 0.974192 0.947131 0.990944 0.913627 1.061818 1.000394 0.843183 0.902459 0.949708 1.010273 0.936393 1.146866 0.989656 0.917493 0.960876 1.165766 1.086302 1.017146 1.014139 0.987078 0.994810 0.976769 0.977199 0.926084 0.955292 0.950568 0.920929 0.955292 1.036475 1.094892 1.196263 1.352615 1.416616 1.433798 1.338011 1.261983 1.188532 1.153739 1.138276 1.072556 1.138705 1.127537 1.070838 1.057952 1.088879 1.146007 1.170061 1.141282 1.197552 1.185095 1.258546 1.244801 1.276157 1.143860 1.204854 1.261553 1.047643 1.074275 1.109926 0.995669 1.027884 0.993951 1.271432 1.354763 1.161041 1.160612 1.052798 1.214304 1.673050 1.268855 1.148155 1.194545 1.102624 1.083295 1.168773 1.048073 1.048932 1.054945 1.069120 1.079858 1.169202 1.286466 1.225472 1.284319 1.363354 1.364642 1.436375 1.414469 1.415757 1.421771 1.408026 1.450979 1.404160 1.579411 1.528296 1.392133 1.316534 1.201418 1.222895 1.222465 1.308373 1.306655 1.304507 1.233633 1.205284 1.127108 1.136987 1.003401 1.067402 1.030032 1.040771 1.115081 1.017575 0.977628 1.063966 1.085013 1.176934 1.108208 1.139994 1.383971 1.326413 1.187673 1.127967 1.023589 1.030462 0.966031 0.970756 0.901171 1.028314 0.941547 0.967749 0.979347 1.048502 1.057523 1.037334 1.115081 1.064825 1.182089 1.166625 1.111644 1.159323 1.307943 1.297634 1.325554 1.271432 1.222895 1.202277 1.228479 1.239217 1.179082 1.159753 1.084583 1.015857 1.043348 1.050220 0.978488 1.014139 1.017146 1.017146 1.019294 0.966890 0.958729 0.970326 0.948849 0.991803 0.899453 0.981065 0.925225 1.017146 1.041200 1.283889 1.271003 1.009414 0.913198 1.024019 1.124960 1.009844 0.928232 0.966460 0.975481 0.941977 0.908902 0.894728 0.962595 0.983212 0.945413 0.928661 0.936393 1.042918 1.095751 1.032180 1.152021 1.179511 1.261553 1.287325 1.234922 1.246949 1.144289 1.140853 1.139994 1.013280 1.026596 1.001683 0.969467 0.949708 0.953145 1.008126 0.960876 0.939400 0.913627 0.906325 0.922218 0.990515 0.928661 1.008126 0.899453 1.080718 1.039482 1.086302 1.006408 1.008555 1.144719 1.403730 1.216881 1.106919 1.029603 1.148155 1.029173 1.023589 1.028743 0.958729 0.931668 0.966031 0.963024 0.949279 0.936822 0.948849 0.979776 1.035743 1.035743 1.035743
18 Estonia EE 1.201141 1.153638 0.997558 1.089170 1.116315 1.126494 1.099349 1.126494 1.099349 1.204534 1.157031 1.123101 1.075598 1.031488 1.055240 1.007737 1.024702 0.899159 0.943269 1.129887 0.960234 0.967020 0.980593 0.905945 0.967020 0.810940 0.939876 0.848263 0.800761 0.807547 0.878801 0.936483 0.980593 0.885587 0.878801 0.841477 1.021309 0.967020 0.990772 1.021309 1.072205 1.004344 0.946662 0.916125 0.939876 0.967020 0.868622 0.956841 0.875408 1.034881 1.078991 0.905945 0.909338 1.092563 1.133280 1.021309 1.136673 1.082384 1.197748 0.936483 1.062026 1.075598 0.994165 1.028095 0.892373 1.095956 1.058633 1.041668 1.011130 1.000951 1.031488 1.014523 0.977200 0.936483 0.939876 0.875408 0.936483 0.916125 0.892373 0.851657 0.916125 0.936483 0.895766 0.787189 0.950055 0.967020 0.943269 0.919518 0.960234 0.943269 1.000951 1.034881 0.956841 0.963627 1.062026 1.062026 1.028095 1.119708 1.014523 0.990772 0.963627 0.970413 1.058633 1.048454 1.235072 1.235072 1.333470 1.309719 1.221499 1.330077 1.190962 1.167211 1.143459 1.031488 1.112922 1.004344 1.031488 1.092563 0.970413 0.994165 0.967020 0.905945 1.045061 1.082384 0.990772 0.983986 0.909338 0.994165 0.888980 0.838084 0.922911 0.983986 0.844870 0.821119 1.004344 0.922911 1.031488 0.882194 0.916125 1.034881 0.878801 0.899159 0.905945 0.919518 0.926304 0.912732 0.967020 0.987379 1.099349 0.888980 1.014523 0.905945 1.099349 0.997558 0.895766 1.021309 1.051847 1.112922 1.082384 0.983986 1.146852 1.129887 1.163818 1.177390 1.319898 1.326684 1.326684 1.302933 1.224892 1.106136 1.143459 1.082384 1.078991 0.936483 0.912732 0.909338 1.017916 0.953448 0.902552 0.888980 0.956841 0.939876 0.885587 0.780402 0.950055 1.051847 0.987379 1.089170 1.024702 0.793975 0.885587 0.865229 0.943269 0.899159 0.963627 0.960234 0.926304 1.021309 0.956841 1.014523 0.956841 0.878801 0.963627 0.980593 0.960234 1.072205 1.082384 1.078991 1.116315 1.190962 1.146852 1.299540 1.099349 1.102743 1.102743 1.075598 1.092563 1.123101 1.034881 0.997558 1.017916 1.004344 0.872015 0.983986 1.014523 0.970413 1.021309 0.929697 1.062026 1.028095 0.936483 1.004344 0.872015 0.953448 0.946662 0.892373 0.943269 0.970413 1.065419 0.868622 0.912732 1.095956 0.851657 0.919518 0.885587 0.861836 0.939876 0.956841 1.034881 0.872015 0.970413 1.004344 0.994165 0.919518 0.977200 1.014523 0.987379 1.109529 1.031488 1.034881 1.024702 0.997558 1.106136 1.045061 1.014523 1.041668 0.919518 1.092563 1.123101 1.068812 0.994165 1.153638 1.055240 1.102743 1.058633 1.051847 1.048454 1.082384 1.031488 1.041668 0.967020 0.943269 1.021309 0.912732 0.926304 0.946662 0.973806 0.909338 0.916125 0.963627 1.004344 1.031488 0.953448 1.000951 0.899159 1.011130 0.950055 0.868622 1.058633 1.119708 1.021309 0.929697 1.048454 1.031488 0.905945 0.973806 0.987379 1.075598 1.133280 1.150245 1.180783 1.167211 1.221499 1.248644 1.282574 1.330077 1.377580 1.197748 1.180783 1.275788 1.160424 1.374187 1.418297 1.425083 1.428476 1.367401 1.377580 1.370794 1.309719 1.245251 1.062026 1.157031 1.167211 1.078991 1.085777 1.000951 1.024702 1.024702 1.340256 1.051847 1.245251 1.082384 0.946662 0.950055 1.045061 1.034881 0.987379 0.990772 1.102743 1.150245 1.007737 1.173997 1.173997 1.160424 1.180783 1.204534 1.404724 1.421690 1.330077 1.347042 1.411510 1.231679 1.285967 1.265609 1.272395 0.963627 1.292754 1.262216 1.129887 1.211320 1.323291 1.269002 1.455620 1.486158 1.357222 1.299540 1.228286 1.173997 1.106136 1.075598 1.028095 1.072205 0.933090 1.034881 1.089170 0.967020 0.950055 0.960234 1.102743 1.004344 1.129887 1.140066 1.038275 1.004344 1.011130 1.055240 1.065419 0.936483 1.062026 1.024702 0.946662 0.983986 1.140066 1.062026 1.197748 1.038275 1.051847 0.956841 1.065419 1.170604 1.123101 1.146852 1.011130 1.072205 1.262216 1.347042 1.269002 1.238465 1.316505 1.380973 1.265609 1.133280 1.078991 1.051847 1.136673 1.004344 0.997558 1.048454 0.973806 0.973806 1.048454 0.960234 1.017916 1.112922 1.058633 1.028095 1.028095 1.011130 0.885587 0.997558 1.048454 1.048454 1.068812 0.848263 0.909338 0.946662 0.973806 0.861836 0.916125 0.851657 0.970413 0.919518 0.919518 0.970413 0.844870 0.936483 0.922911 0.882194 1.095956 1.150245 1.062026 1.089170 1.031488 1.129887 1.065419 1.092563 1.184176 1.238465 1.408117 1.231679 1.275788 1.326684 1.350435 1.248644 1.173997 1.095956 1.143459 1.075598 1.102743 0.983986 1.048454 1.126494 1.007737 1.014523 1.109529 1.017916 0.973806 0.895766 1.007737 1.034881 0.980593 0.875408 0.909338 0.882194 1.085777 1.048454 0.892373 0.994165 0.882194 0.838084 0.919518 0.943269 0.987379 0.926304 1.024702 0.919518 0.861836 0.919518 1.140066 1.031488 1.126494 0.994165 1.099349 1.119708 1.065419 1.032921 1.032921
19 Poland PL 1.052168 1.021858 1.027920 0.996160 1.049401 1.076153 1.169325 1.184085 1.195023 1.164844 1.166294 1.138619 1.124782 1.113448 1.074572 1.050850 1.027525 0.986144 0.965190 0.957547 0.935934 0.924469 0.973493 0.932508 0.887833 0.893631 0.969935 0.926314 0.903779 0.924601 0.863716 1.021726 0.998137 0.882693 0.912477 0.912213 0.878213 0.939624 0.900221 0.943973 0.949640 1.036881 0.997741 0.968353 0.978237 0.989043 0.980741 0.976392 0.999982 0.996687 0.984695 1.002090 1.030028 1.082610 1.043734 1.012501 1.051246 1.050323 1.073386 1.044788 1.035959 1.054540 1.035695 1.031083 1.056122 1.057571 1.003408 0.989702 0.936593 0.943182 0.975074 0.952671 0.912608 0.955965 0.914190 0.871228 0.894817 0.996687 0.904569 0.869647 0.905756 0.877817 0.957679 0.877422 0.884934 0.896662 0.927632 0.921965 0.919988 0.888755 0.891523 0.968749 0.970989 0.982586 1.009206 0.988253 1.007625 0.987330 0.995501 1.015532 1.021726 1.051246 1.032796 1.093417 1.169457 1.222829 1.347498 1.301373 1.310730 1.327862 1.242992 1.215186 1.193046 1.105409 1.049928 1.015927 1.006439 1.012633 0.970725 0.980609 0.985090 0.983904 0.973229 0.930399 0.941996 0.932244 0.935671 0.908259 0.900089 0.956097 0.925523 0.883352 0.897980 0.947531 0.922097 0.996160 0.909577 0.903779 0.869251 0.918934 0.919593 0.947795 0.956361 0.990493 1.057571 1.027656 1.003672 0.994315 1.000772 0.968880 0.988912 1.025811 0.998005 1.028183 1.047424 1.055726 1.112130 1.103301 1.064556 1.138487 1.158782 1.184348 1.197658 1.202930 1.229946 1.299923 1.330234 1.248264 1.194100 1.145076 1.129526 1.082742 1.021067 0.999454 0.971648 0.963477 0.930531 0.963214 1.014082 0.945818 0.927105 0.931454 0.922756 0.969012 0.943578 0.945950 1.011315 1.055199 0.962686 0.902724 0.906283 0.913794 0.947399 0.941206 0.984958 0.974942 1.034246 0.997214 0.993524 1.021858 1.023307 1.003408 1.000245 1.015927 1.044657 1.066665 1.043339 1.075626 1.125045 1.142309 1.131503 1.146526 1.159441 1.233767 1.221511 1.217821 1.148766 1.135983 1.105409 1.078393 1.057571 1.027261 1.025680 1.014610 1.018695 1.065083 0.986408 0.988648 0.979818 0.999718 0.981136 1.049796 1.085905 0.946609 0.968880 0.932244 0.937384 0.980346 1.009470 0.957810 0.947004 0.916562 0.927764 1.033850 0.916825 0.918539 0.974020 1.052300 1.013292 1.030424 1.028315 1.005253 1.006439 1.001827 0.995106 0.991943 1.011710 1.043602 1.046633 1.075099 1.047556 1.115293 1.086169 1.062052 1.056254 1.128076 1.099479 1.136510 1.116743 1.116347 1.102246 1.108308 1.096711 1.073781 1.053091 1.053750 1.078525 1.020408 1.022253 0.999059 0.996028 0.994447 1.005780 1.028974 1.020013 0.974547 0.971911 1.009075 0.963214 0.989043 0.997478 1.026207 1.047951 1.063633 1.047292 0.980873 0.995896 1.015269 1.084719 1.083138 1.108704 1.210705 1.348288 1.629385 1.942900 2.140709 2.060189 1.954102 1.795829 1.710828 1.583787 1.539112 1.598284 1.551764 1.512624 1.446204 1.452530 1.370164 1.302032 1.308226 1.333265 1.303877 1.338273 1.427886 1.524089 1.661145 1.822976 1.818232 1.685657 1.580888 1.459383 1.328916 1.275411 1.143759 1.084983 1.074967 1.072331 1.100006 1.101587 0.994051 1.009075 1.038858 0.968880 1.031214 0.974152 0.998795 0.976524 0.975733 0.975865 1.064556 1.031873 1.065742 1.073254 1.117270 1.125440 1.167084 1.250636 1.307435 1.419452 1.586687 1.676959 1.764069 1.816651 1.822713 1.809798 1.784495 1.581811 1.420902 1.317846 1.338668 1.390855 1.408646 1.370428 1.294125 1.214132 1.207279 1.157069 1.170774 1.172619 1.130185 1.111340 1.150743 1.092363 1.081688 1.041230 0.999454 0.984695 0.999454 1.020013 0.983640 1.023307 1.081293 0.931322 0.952934 1.052959 1.008152 1.025416 1.018168 1.114502 1.018827 0.964400 1.019354 1.065083 1.093153 1.166425 1.120433 1.128735 1.089068 1.062184 1.008416 1.004989 1.032532 1.064556 1.072199 1.137696 1.227574 1.341963 1.449103 1.369901 1.256830 1.135720 1.092099 1.088936 1.088409 1.068114 1.085114 1.089331 1.105673 1.098952 1.081161 1.049796 1.026207 1.014082 1.020276 1.003935 0.985353 0.970989 0.980609 0.986276 0.958733 0.997346 0.936725 0.982191 0.916167 0.898376 0.959524 0.897980 0.948586 0.911554 0.896794 1.025021 0.958733 0.882034 0.933562 0.932376 0.946477 0.948322 0.969144 1.018827 1.038463 1.051509 1.063897 1.048742 1.048742 1.113053 1.154960 1.166953 1.177495 1.201480 1.173542 1.155356 1.171433 1.144417 1.155751 1.140991 1.148371 1.101324 1.066401 1.059548 1.017641 1.018168 0.993788 1.001695 1.016586 1.001695 0.942523 0.971648 1.006439 0.939888 0.982059 0.970066 0.965190 0.923546 0.910104 0.968485 1.008679 0.929213 0.980082 0.955965 0.949244 0.920515 0.951485 1.003540 0.986144 0.980609 0.982586 0.961632 0.971252 1.030687 1.060998 1.063238 1.054277 1.066269 1.009865 1.005121 1.005648 1.023044
20 Belgium BE 1.173617 1.204138 1.204615 1.196984 1.260887 1.300469 1.379155 1.322882 1.260410 1.171709 1.134989 1.134989 1.082532 1.031505 1.057734 1.026259 0.995262 0.956157 0.983816 0.942327 0.929928 0.908468 0.926113 0.955203 0.906084 0.900361 1.097315 0.909899 0.856965 0.829782 0.847427 0.952342 0.883193 0.836935 0.915145 0.846473 0.914191 0.879378 0.921344 0.940896 0.962833 0.981909 0.971894 0.999077 0.930405 0.922298 0.963310 0.963787 0.949957 1.007661 0.994308 0.968556 1.012429 1.070133 1.065364 1.094454 1.079193 1.039612 1.014337 1.011476 1.063456 1.114006 1.079670 1.072040 1.127359 1.083962 0.991923 1.030074 0.977140 0.951865 0.995262 0.984770 0.918483 0.928021 0.898930 0.885101 0.882716 0.915622 0.880332 0.905607 0.921821 0.968079 0.914191 0.858872 0.852673 0.942327 1.010999 0.889870 0.875086 0.924205 0.843612 0.908945 0.907991 0.984770 0.973325 0.965695 0.995738 0.998123 1.038181 1.021967 1.044858 1.059164 1.059164 1.106853 1.153111 1.219398 1.304284 1.261364 1.283301 1.406814 1.283301 1.254688 1.139281 1.103992 1.019583 0.970940 1.004322 0.986201 0.938989 0.931836 0.914191 0.991446 0.997169 0.958064 1.006230 0.958064 0.944712 0.865548 0.890823 1.001938 0.868410 0.906561 0.880809 0.871271 0.904653 0.862210 0.870794 0.850765 0.930405 0.917529 0.897977 0.869364 0.909899 0.936128 0.932313 0.981909 0.957111 0.912283 0.902269 0.924682 0.990970 1.008137 0.991923 1.085393 1.108760 1.083485 1.120683 1.135943 1.104945 1.114006 1.074425 1.123067 1.122113 1.223213 1.253257 1.431612 1.438289 1.299038 1.237043 1.173140 1.050580 1.037227 0.974755 0.931359 0.890347 0.944235 0.887008 0.930405 0.931359 0.863641 0.826921 0.848381 0.929928 0.991923 0.874132 0.948050 1.004799 1.013383 0.953772 0.899884 0.869840 0.870317 0.910376 0.863641 0.939466 0.873179 0.937081 0.956634 0.933266 0.914668 0.909422 0.977140 0.961879 0.982386 1.004799 1.036274 1.064887 1.079193 1.073471 1.100653 1.119252 1.102561 1.142142 1.154542 1.213199 1.148819 1.153111 1.157880 1.139281 1.113529 1.033412 0.983816 1.041043 0.938989 0.999077 0.975709 0.959018 0.969987 0.969987 0.951388 0.921821 0.937558 0.880809 0.912283 0.944235 0.922775 0.852673 0.897500 1.105422 0.913714 0.842181 0.847427 0.886531 0.956634 0.876517 0.874132 0.917052 0.908945 0.976663 0.930405 0.935174 0.984770 0.922775 0.954249 0.960449 1.042950 1.011953 1.030551 1.055349 1.114483 1.026259 1.065364 1.138804 1.103515 1.051057 1.123544 1.034366 1.100176 1.097315 1.072517 1.054872 1.065364 1.217967 1.525082 1.917559 2.046796 1.765910 1.449257 1.158357 1.139758 0.973802 0.992877 0.945665 0.857918 0.905607 0.868887 0.938512 0.843135 0.802123 0.886531 0.863164 0.928497 0.975709 1.374386 1.056303 0.896069 0.901792 0.870317 0.955680 0.913714 0.915622 0.982386 1.028644 1.253734 1.565141 1.759233 1.636673 1.516021 1.379632 1.289500 1.325744 1.304761 1.248011 1.164079 1.176001 1.142619 1.162172 1.158833 1.084916 1.060595 1.104468 1.019106 0.960926 1.027690 1.001938 1.008614 1.057257 1.051534 1.032459 1.054395 1.049627 1.073471 0.990016 0.966648 0.951388 0.949957 0.895592 0.936605 0.848857 0.919437 0.872225 0.908945 0.953296 0.901315 0.895115 0.901315 0.877471 0.887485 0.931836 0.959495 0.903699 0.898930 0.924682 0.979524 1.059164 1.113529 1.109714 1.085393 1.135943 1.143096 1.185062 1.300946 1.241812 1.208430 1.159310 1.167417 1.124975 1.058687 1.123544 1.205568 1.253734 1.217967 1.165987 1.093500 1.031505 1.150250 1.138327 1.143096 1.194600 1.211291 1.163125 1.114483 1.050103 1.068702 0.980001 0.996692 0.914191 0.972848 0.921344 1.004799 0.965218 0.932313 0.967125 0.978094 1.021967 0.959495 0.982386 1.021490 1.002415 0.987154 0.945665 0.951865 0.907038 0.972848 0.994785 1.057257 1.056303 1.048196 1.032936 0.954726 0.978094 0.987154 1.053442 1.068702 1.190785 1.255164 1.449257 1.363418 1.335758 1.271379 1.118775 1.109714 1.135466 1.112099 1.151680 1.095885 1.109714 1.146434 1.100176 1.075378 1.068702 1.004322 0.992877 0.973802 0.938035 0.941373 0.989062 0.972848 0.918483 0.923729 1.009568 1.019106 0.917052 0.914668 0.924205 0.939466 0.838366 0.885101 0.848381 0.913237 0.931359 0.931836 0.872225 0.963310 0.994785 0.893685 0.941850 0.944235 0.949004 1.015768 1.041043 0.982862 0.985247 1.061072 1.059641 1.087777 1.153588 1.174094 1.171709 1.163125 1.144527 1.198892 1.231320 1.254688 1.218921 1.165987 1.121636 1.067271 1.065841 1.069656 1.016721 1.001461 1.038181 1.021490 1.014337 0.980955 1.012906 1.021967 0.933266 0.975232 0.882716 0.879378 0.944235 0.974755 0.966648 1.042473 0.919913 0.905607 0.979047 0.979047 0.963787 0.942804 0.943281 0.936128 0.884147 0.915145 0.897500 0.972848 0.976663 0.999077 0.992877 1.016245 0.988108 1.010644 1.010644 1.010644 1.010644
21 Montenegro ME 1.150658 1.134452 1.199277 1.037213 1.085832 1.142555 1.021006 1.312723 1.256000 1.320826 0.988594 1.134452 0.858942 1.110142 0.923768 0.980490 1.118245 0.875148 0.794116 0.996697 0.794116 0.923768 1.012903 0.939974 0.721187 0.721187 0.826529 1.102039 0.956181 1.280310 0.923768 1.004800 0.786013 0.688774 0.704981 1.012903 0.777910 0.939974 0.745497 1.118245 1.012903 0.939974 0.948077 1.061523 0.980490 1.093935 1.053419 0.721187 1.004800 0.988594 0.996697 1.045316 1.012903 1.021006 1.045316 1.021006 1.256000 0.996697 1.004800 0.988594 0.939974 1.053419 0.996697 0.956181 1.166865 0.931871 1.102039 0.867045 0.899458 0.907561 1.012903 0.964284 0.802219 0.891355 0.907561 1.037213 0.980490 1.150658 0.972387 0.883252 0.794116 0.939974 0.996697 1.037213 0.810323 0.842735 0.964284 0.883252 1.004800 0.850839 0.948077 1.061523 0.996697 0.883252 1.045316 0.980490 1.053419 0.996697 0.996697 0.834632 1.021006 0.899458 1.288413 1.604439 1.563923 1.547716 1.644955 1.531510 1.183071 1.401858 1.158761 0.972387 1.077729 1.085832 0.931871 0.931871 1.053419 0.923768 1.134452 1.029110 0.939974 0.988594 0.850839 0.753600 0.948077 0.980490 0.988594 0.996697 0.980490 0.939974 1.029110 0.964284 0.948077 0.834632 0.972387 1.037213 1.207381 0.964284 0.834632 0.745497 0.826529 0.834632 0.810323 1.142555 0.923768 0.810323 0.834632 0.972387 0.875148 0.883252 0.931871 1.012903 1.004800 1.077729 1.150658 1.077729 0.980490 1.256000 1.029110 1.239794 0.964284 1.102039 0.931871 1.061523 1.215484 1.280310 1.166865 1.021006 1.021006 1.093935 1.223587 1.029110 0.810323 1.012903 1.053419 1.029110 0.826529 0.883252 0.899458 0.891355 0.939974 0.826529 1.021006 0.875148 0.867045 0.948077 1.004800 0.972387 1.045316 0.777910 0.988594 0.972387 1.004800 0.939974 1.012903 0.802219 1.077729 0.996697 0.923768 1.004800 0.948077 0.972387 1.012903 1.069626 1.085832 1.037213 0.939974 1.207381 1.183071 1.142555 1.231690 1.150658 1.385652 1.369445 1.150658 1.134452 1.377548 1.045316 1.207381 0.980490 0.939974 0.923768 0.948077 0.972387 1.126348 0.996697 1.102039 0.891355 0.883252 0.948077 0.737394 0.980490 1.085832 1.021006 1.061523 0.948077 0.907561 0.907561 0.996697 0.867045 0.907561 1.045316 0.980490 0.964284 1.004800 0.988594 0.907561 0.858942 0.980490 1.029110 0.964284 0.858942 0.915665 1.085832 1.012903 1.037213 1.069626 1.085832 1.191174 1.142555 0.858942 0.696877 0.956181 1.174968 1.077729 1.126348 1.215484 1.053419 1.150658 0.964284 1.142555 0.915665 1.021006 1.215484 0.956181 0.988594 0.915665 0.818426 0.907561 0.769806 0.931871 0.915665 0.931871 0.907561 0.915665 0.818426 0.931871 1.247897 1.110142 1.183071 1.264103 1.223587 1.053419 0.907561 1.110142 1.118245 1.199277 0.996697 1.061523 1.247897 1.207381 1.191174 1.288413 1.482890 1.426168 1.401858 1.320826 1.596335 1.361342 1.345135 1.320826 1.572026 1.555819 1.345135 1.620645 1.450477 1.572026 1.401858 1.644955 1.661161 1.709781 1.782710 1.790813 1.717884 1.879948 1.490994 1.798916 1.596335 1.515303 1.563923 1.531510 1.256000 1.345135 1.264103 0.899458 1.166865 0.777910 1.118245 1.012903 1.069626 1.110142 0.939974 1.069626 1.191174 1.102039 1.474787 1.353239 1.466684 1.361342 1.442374 1.563923 1.515303 1.515303 1.401858 1.612542 1.369445 1.563923 1.628748 1.442374 1.612542 1.482890 1.636852 1.337032 1.401858 1.247897 1.377548 1.523406 1.790813 1.912361 2.114942 1.847535 1.434271 1.377548 1.328929 1.053419 1.053419 1.045316 1.053419 1.029110 1.053419 0.883252 1.053419 0.907561 0.931871 1.029110 1.045316 1.150658 1.029110 0.996697 0.713084 0.875148 0.939974 1.093935 1.037213 1.029110 1.158761 1.126348 1.012903 0.980490 0.931871 1.077729 0.915665 0.883252 0.915665 1.004800 0.907561 0.956181 0.907561 1.012903 0.923768 0.891355 1.029110 0.867045 0.931871 1.053419 0.931871 1.118245 1.069626 1.118245 1.215484 1.150658 1.183071 0.956181 1.085832 1.174968 1.199277 1.077729 1.085832 0.988594 0.996697 0.810323 0.972387 1.126348 1.077729 0.907561 0.899458 0.891355 1.012903 1.053419 0.964284 1.085832 0.956181 0.972387 0.956181 0.972387 0.980490 0.931871 1.012903 0.907561 1.012903 0.794116 0.867045 0.842735 1.077729 0.867045 0.883252 1.004800 0.956181 0.931871 0.786013 0.939974 0.899458 0.891355 0.899458 0.826529 0.899458 0.899458 1.012903 0.907561 1.239794 1.272206 1.134452 1.126348 1.369445 1.337032 1.320826 1.247897 1.110142 1.069626 0.980490 1.102039 0.931871 0.980490 0.988594 1.021006 0.850839 0.931871 0.964284 0.980490 0.696877 0.858942 0.891355 0.794116 0.858942 0.956181 0.931871 0.939974 1.029110 0.939974 1.085832 1.029110 0.891355 0.980490 0.883252 0.737394 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421 1.006421
22 Czechia CZ 1.126511 1.152092 1.135038 1.183831 1.222203 1.230730 1.294209 1.271470 1.235941 1.116563 1.085297 1.076770 1.052610 1.046452 1.000027 1.034135 1.038872 0.966867 0.941759 0.939391 0.944128 0.961182 0.945075 0.893440 0.834224 0.895335 0.971130 1.013291 0.920442 0.999080 0.893440 1.021345 1.194253 0.858858 0.929916 0.942233 0.910494 0.928969 0.907178 0.950760 0.964024 0.985342 0.993869 0.955024 0.956918 0.958340 0.935601 0.937496 0.956445 0.970183 0.951708 0.961182 1.021345 1.052610 0.973025 1.030345 1.002396 1.012344 1.063506 1.023240 1.048821 1.058769 0.992921 1.020871 1.017555 1.037925 1.012818 0.982973 0.923284 1.001448 0.938917 0.947918 0.930390 0.947444 0.967340 0.896756 0.907178 0.944128 0.933232 0.893440 0.908599 0.938443 0.919968 0.865490 0.871175 0.923284 0.967814 0.908599 0.937970 0.914283 0.868806 0.941759 0.943181 0.986763 1.014713 0.964024 0.946023 0.932285 1.010923 0.987237 1.006659 1.042188 1.044083 1.153513 1.241152 1.308894 1.331633 1.342054 1.307946 1.230730 1.250626 1.180515 1.116563 1.114668 1.054031 1.025134 0.996237 0.982973 0.980131 0.944602 0.967814 0.971604 0.966867 0.982499 0.935127 0.915231 0.963077 0.869754 0.937022 0.967340 0.918547 0.925179 0.893440 0.934180 0.838488 0.983921 0.928021 0.881597 0.918547 0.875438 0.909546 0.943181 0.974920 1.006659 1.058769 1.021345 0.961182 0.995290 0.972551 0.966393 0.974446 0.981078 1.002396 0.995764 1.036030 1.003817 1.042662 1.015186 1.007133 1.056400 1.037451 1.049768 1.138828 1.232625 1.304630 1.335422 1.418324 1.317895 1.234993 1.128880 1.071559 1.069191 0.976341 0.990079 0.957866 0.927548 0.929443 0.953602 0.945075 0.965445 0.882544 0.930390 0.919021 0.937496 0.966867 0.965919 1.019923 1.126985 1.003343 0.910967 0.949339 0.901019 0.937496 0.954076 0.973972 0.902914 1.005712 0.983447 0.954076 0.958813 1.017555 0.969235 0.943181 1.014239 0.992448 1.039346 1.011870 1.090982 1.016134 1.099509 1.084823 1.094772 1.120353 1.182884 1.158250 1.188569 1.182410 1.095719 1.128880 1.071559 1.041241 1.006186 1.009502 1.016134 0.991974 0.996237 0.971604 0.991500 0.959287 0.945075 0.991500 0.956918 1.016134 0.937970 0.979183 0.969235 0.926600 0.963551 1.028450 0.952181 0.960235 0.959761 0.952655 1.018976 0.910494 0.920916 0.961656 1.021818 1.019923 1.040767 0.994342 1.013291 0.978710 0.999553 1.056874 1.029398 1.010923 0.984394 1.054505 1.064927 1.063506 1.091929 1.101404 1.063032 1.107088 1.119879 1.115615 1.132669 1.113247 1.117984 1.086718 1.087192 1.101404 1.088139 1.099035 1.063032 1.006659 0.964498 0.999080 0.946970 0.959761 0.909073 0.918547 1.011396 0.939391 0.957866 0.986289 1.000027 0.946970 0.942233 0.989132 1.054979 1.026082 1.036030 0.996711 0.963077 0.965445 0.989605 1.051663 1.133143 1.127932 1.235941 1.395585 1.727664 2.001949 2.007634 1.824777 1.622024 1.501225 1.468538 1.470433 1.535807 1.522543 1.666554 1.821935 1.776931 1.704452 1.633867 1.550966 1.631025 1.644763 1.720085 1.856517 1.908152 1.816724 1.643815 1.605444 1.396059 1.250152 1.189516 1.172462 1.091929 1.064453 0.972078 0.928021 0.973025 0.931811 0.973499 0.948391 0.893913 0.916652 0.961656 0.928021 0.998132 0.905756 0.962603 0.939391 0.926127 0.946970 0.982499 1.006659 0.993869 0.982499 1.000501 1.050242 1.094772 1.217466 1.274786 1.365741 1.443431 1.532491 1.604970 1.596443 1.483697 1.391322 1.311736 1.209412 1.209412 1.117036 1.123669 1.244468 1.267680 1.238309 1.182410 1.139301 1.129827 1.090034 1.161566 1.185726 1.144039 1.091456 1.094772 1.061137 1.069664 1.033661 0.962129 0.894861 0.969709 0.974446 0.934654 0.934654 1.023713 0.886808 0.926600 1.094298 1.034135 1.041241 1.021818 1.032714 0.996237 0.958340 1.022292 1.051189 1.080560 1.112773 1.135512 1.106141 1.088613 1.079612 1.018976 1.046926 1.042188 1.060664 1.143565 1.149250 1.282365 1.406481 1.468064 1.382795 1.235941 1.175304 1.088139 1.102351 1.080086 1.098088 1.080086 1.084823 1.094772 1.041715 1.064927 1.026082 0.993395 1.044557 1.010449 0.973972 0.992921 0.928495 0.955024 0.919494 0.918073 0.932759 0.915705 0.992448 0.906704 0.928021 0.971130 0.917600 0.874491 0.883492 0.933232 1.000027 1.031767 0.899124 0.902440 0.927548 0.950286 0.917126 0.967340 1.035556 1.027977 1.045031 1.009502 1.018502 1.097140 1.082929 1.117984 1.155408 1.148776 1.166304 1.169620 1.137407 1.084823 1.121774 1.170567 1.144986 1.237362 1.104246 1.087192 1.009502 0.991500 0.986763 0.963551 0.988658 0.998606 0.954550 0.953129 0.909073 0.956445 0.906704 0.930390 0.942707 0.926600 0.932285 0.902914 1.011396 0.975394 0.901493 0.988184 0.930390 0.980131 0.985815 0.940812 0.992448 0.930864 0.985815 1.000975 0.960235 0.999553 1.022292 1.047399 1.083876 1.060190 1.001448 1.003266 1.003266 1.003266 1.003266
23 Slovakia SK 1.087520 1.160869 1.183363 1.207813 1.263558 1.199011 1.246932 1.238130 1.207813 1.138376 1.159891 1.077741 1.064049 1.014171 1.066005 1.054269 1.038621 0.958426 0.936911 0.894857 0.953536 0.905615 0.994612 0.981898 0.889967 0.890945 0.984832 0.983854 0.899747 1.106102 0.842046 1.002436 1.095344 0.902681 0.913439 0.907571 0.888989 0.981898 0.926153 0.884099 0.903659 0.953536 0.916373 1.008304 0.985810 0.948646 0.934955 0.908549 0.927131 0.931043 0.979942 0.998524 1.011237 1.048401 0.927131 1.003414 0.960382 1.021995 1.018083 1.027863 1.000480 0.980920 0.986788 1.009282 1.003414 0.977008 0.994612 0.949624 0.987766 0.966250 0.996568 0.966250 0.913439 0.981898 0.962338 0.865518 0.878231 1.032753 0.879209 0.888989 0.936911 0.916373 0.912461 0.884099 0.854760 0.916373 0.888989 0.913439 0.932999 0.977986 0.927131 0.980920 1.006348 0.970162 1.047423 1.040577 1.005370 0.994612 1.039599 1.058181 1.043511 0.962338 1.043511 1.173583 1.282140 1.379938 1.378960 1.359401 1.325171 1.309523 1.175539 1.197055 1.090454 1.133486 0.979942 0.993634 1.067961 0.994612 0.967228 1.001458 0.985810 1.000480 0.933977 0.898769 0.904637 0.895835 0.928109 0.839112 0.897791 0.902681 0.955492 0.894857 0.880187 0.947668 0.927131 1.040577 0.968206 0.936911 0.897791 0.910505 0.932021 0.930065 0.955492 1.000480 1.016127 1.013193 0.981898 0.898769 0.962338 0.968206 0.976030 0.975052 0.992656 0.949624 0.980920 1.027863 1.058181 1.069917 1.124684 1.171627 1.070895 1.178473 1.133486 1.114904 1.263558 1.323215 1.327127 1.139354 1.086542 1.103168 1.027863 1.046445 0.923219 0.886055 0.941800 0.931043 0.981898 0.964294 0.963316 0.901703 0.933977 0.871386 0.901703 0.925175 0.948646 0.947668 1.056225 1.085564 0.969184 0.910505 0.939845 0.919307 0.977008 0.931043 0.996568 0.984832 0.973096 0.999502 0.960382 1.020039 0.933977 1.007326 0.972118 0.998524 1.013193 0.986788 1.011237 1.104146 0.991678 1.080674 1.069917 1.150112 1.110014 1.197055 1.309523 1.224438 1.226394 1.181407 1.173583 1.085564 1.044489 1.002436 0.964294 1.049379 0.962338 1.041555 0.957448 0.933977 0.922241 0.901703 0.903659 0.908549 1.062093 0.974074 0.903659 0.889967 0.856716 0.926153 1.002436 0.920285 0.920285 0.839112 0.941800 1.009282 0.874319 0.915395 0.922241 0.954514 0.958426 0.922241 0.997546 0.920285 0.978964 0.967228 0.980920 0.964294 0.972118 0.947668 0.979942 1.029819 1.013193 1.121750 1.084586 1.062093 1.082630 1.133486 1.076763 1.155001 1.064049 1.126640 1.106102 1.097300 1.160869 1.030797 1.057203 0.980920 0.935933 0.955492 0.948646 0.982876 0.957448 0.932021 0.892901 0.941800 0.959404 0.879209 0.916373 0.960382 0.951580 0.927131 0.935933 0.963316 1.041555 0.941800 0.938867 1.000480 0.947668 1.011237 0.941800 1.019061 1.110014 1.047423 1.177495 1.247910 1.332017 1.405366 1.379938 1.340819 1.393630 1.425904 1.518812 1.580425 1.753529 2.001937 2.043013 2.078220 1.951082 1.927610 1.943258 2.035189 1.964774 1.919786 1.827856 1.744727 1.640082 1.549130 1.434705 1.303655 1.280184 1.225416 1.140332 1.108058 1.101212 0.977008 0.940823 0.978964 0.977986 1.024929 1.066005 0.946690 0.966250 0.977008 0.876275 1.004392 0.932021 0.952558 0.988744 0.873341 0.974074 1.018083 1.116860 1.128596 1.078719 1.187275 1.175539 1.280184 1.418080 1.471869 1.638127 1.813186 1.880667 1.879689 1.855239 1.719299 1.560866 1.460133 1.380916 1.242042 1.194121 1.148156 1.226394 1.193143 1.334951 1.285074 1.364290 1.334951 1.332995 1.271382 1.238130 1.179451 1.063071 1.079697 1.094366 1.046445 0.994612 0.954514 0.944734 1.038621 0.995590 0.911483 1.033731 1.080674 0.949624 0.972118 1.145222 1.063071 1.042533 1.051335 1.091432 1.058181 0.962338 0.994612 0.941800 1.032753 1.116860 1.095344 1.080674 1.084586 1.105124 1.096322 1.014171 1.034709 1.107080 0.999502 1.111970 1.241064 1.367224 1.329083 1.245954 1.155001 1.127618 1.035687 1.053291 1.043511 1.012215 1.065027 1.079697 1.105124 1.112948 1.093388 1.038621 0.953536 1.035687 0.972118 0.987766 0.916373 0.912461 0.850848 1.004392 0.892901 0.925175 0.945712 0.995590 0.920285 0.937889 0.977008 0.930065 0.903659 0.904637 0.850848 0.974074 1.034709 0.915395 0.945712 0.961360 0.928109 0.932021 0.910505 1.014171 1.042533 1.066983 1.013193 1.002436 1.024929 1.092410 1.168693 1.155979 1.158913 1.219549 1.218571 1.152067 1.144244 1.169671 1.187275 1.185319 1.145222 1.096322 1.027863 0.976030 0.995590 0.954514 0.989722 0.921263 0.945712 0.877253 0.855738 0.916373 0.968206 0.887033 0.969184 0.973096 0.924197 0.939845 0.875297 0.962338 0.951580 0.940823 1.048401 1.001458 0.913439 0.917351 0.947668 1.105124 0.989722 1.051335 0.990700 0.948646 0.990700 1.019061 1.056225 1.053291 1.063071 1.049379 0.973096 0.976030 0.934955 0.932021
24 Italy IT 1.222886 1.273886 1.247218 1.202260 1.226914 1.260109 1.249635 1.220549 1.171805 1.144975 1.115567 1.084064 1.057557 1.033870 1.032178 1.029760 0.970542 0.962485 0.981096 0.928001 0.890939 0.874019 0.971670 0.922281 0.853313 0.870797 0.952252 1.069078 1.071818 1.172691 0.967561 1.014775 0.943954 0.855569 0.895612 0.914626 0.856375 0.915110 0.861048 0.904636 0.936541 0.917608 0.953461 0.944437 0.954750 0.936944 0.941778 0.945726 1.007201 1.006395 1.004139 1.011955 1.064969 1.089060 1.051837 1.091316 1.078666 1.047164 1.060941 1.022026 1.023959 1.029035 1.034917 1.038301 1.009135 1.025249 0.990281 0.952494 0.934124 0.920105 0.934205 0.920266 0.882237 0.927276 0.873536 0.888683 0.867413 0.921878 0.906167 0.909873 0.912371 0.899963 0.889650 0.885541 0.854522 0.897868 0.901816 0.865962 0.844289 0.852749 0.831559 0.893840 0.898996 0.996002 0.971670 0.952011 0.946210 0.957892 1.005187 0.978599 0.983352 1.010585 1.068514 1.197345 1.328513 1.456054 1.530017 1.448078 1.328352 1.268730 1.134501 1.116051 1.070770 1.059330 1.040718 1.029922 1.015339 0.991006 0.954589 0.973603 0.930821 0.964580 0.970864 0.955475 0.937428 0.929612 0.930902 0.876436 0.926067 0.942665 0.899479 0.899963 0.937992 0.895693 0.893598 1.048453 1.127411 0.940489 0.879982 0.895129 0.849365 0.869105 0.884332 0.923006 0.931546 0.967641 0.958940 0.961115 0.947579 0.986011 1.005348 1.000514 1.011552 1.051514 1.087771 1.085031 1.204999 1.308854 1.284844 1.227398 1.184212 1.172369 1.115406 1.130714 1.130070 1.160686 1.143847 1.072060 1.000433 1.030727 0.999386 0.978115 0.960148 0.946049 0.891100 0.888683 0.874744 0.912773 0.911807 0.885944 0.893598 0.886508 0.850010 0.898029 0.895693 0.900768 0.896901 0.991409 1.004623 0.902702 0.901494 0.874261 0.886911 0.894162 0.900527 0.878451 0.925342 0.935736 0.934044 0.958053 0.930660 0.951125 0.951608 1.009699 0.998338 1.026377 1.033467 1.072060 1.081728 1.141511 1.197506 1.234730 1.237550 1.273564 1.226914 1.214346 1.182279 1.176719 1.114036 1.075121 1.019609 1.005992 1.024362 0.975457 0.980291 0.958376 0.928323 0.942584 0.930740 0.936139 0.914465 0.987864 0.965385 0.916480 1.020576 0.992940 0.935977 0.887797 0.968769 0.884171 0.918091 0.906892 0.889972 0.878854 0.841792 0.888280 0.878773 0.885138 0.882479 0.921797 0.927759 0.948224 0.905119 0.945887 0.976907 0.964257 0.968769 0.958537 1.020495 1.045874 0.998902 1.086320 1.125880 1.131923 1.127089 1.119918 1.090671 1.099050 1.068112 1.103482 1.184857 1.469107 1.766811 1.889922 1.683986 1.526714 1.350105 1.186388 1.059974 1.015500 0.964902 0.922281 0.884816 0.897868 0.862740 0.896176 0.972475 0.998741 0.925262 0.880062 0.917930 1.025168 0.976101 0.999869 0.959907 0.947579 0.907375 0.936783 0.952414 0.900688 0.968205 0.986656 1.026941 1.172046 1.261640 1.396675 1.502382 1.513420 1.521719 1.449851 1.408518 1.375565 1.265185 1.316347 1.356067 1.363319 1.386523 1.319972 1.261479 1.154079 1.205725 1.163667 1.188483 1.229412 1.253583 1.287664 1.283394 1.226189 1.180023 1.174383 1.108719 1.032339 1.001319 0.981983 0.967238 0.963371 0.956684 0.943954 1.037012 1.000594 0.969978 0.942101 0.966755 1.035320 1.018884 1.107994 1.038462 0.972878 0.968528 0.978276 0.985447 0.937267 0.929290 0.916721 1.008329 1.053206 1.023476 1.026699 1.030808 1.029760 1.027343 1.118226 1.147070 1.206289 1.225786 1.210236 1.285891 1.362352 1.372504 1.397641 1.357759 1.255355 1.181715 1.119596 1.122496 1.135146 1.131600 1.102676 1.113795 1.106946 1.090993 1.052562 1.031372 1.019045 1.025249 1.006718 0.990604 0.939522 0.940328 0.968608 1.002528 1.072221 1.132164 1.090510 1.265427 1.297896 1.179217 1.058766 1.012680 0.962243 0.940973 0.958456 0.938072 0.924939 0.977551 1.002447 0.998419 1.010021 1.008732 0.975859 1.039993 1.092363 1.105415 1.184696 1.223047 1.248588 1.243431 1.249796 1.250441 1.219260 1.201132 1.212654 1.205886 1.201535 1.223853 1.147231 1.067709 1.087690 1.016466 1.005751 0.984722 0.983272 1.021945 1.017836 0.973523 0.939281 0.912290 0.892873 0.955395 0.893759 0.886830 0.870635 0.942262 0.880304 0.895854 0.963613 1.103240 1.075846 0.922925 0.879418 0.942101 1.045472 0.895451 0.911001 0.914788 0.894323 0.909148 0.921717 0.919863 0.928323 0.954106 0.941376 0.985367 1.045874 1.056751 1.129345 1.127491 1.175994 1.238114 1.275256 1.303617 1.206530 1.181393 1.133776 1.102676 1.080036 1.019206 1.003817 0.992779 0.974248 0.978438 0.952333 0.961760 0.945887 0.969172 0.897546 0.931304 0.967480 0.926954 0.919219 0.899318 0.894403 0.925584 0.880465 0.928565 0.876114 0.883929 0.958376 1.029760 0.989879 1.058040 1.040960 1.044908 0.957006 0.964660 0.963371 0.915029 0.958053 0.993424 0.964096 1.006959 0.993907 0.983030 0.878692 0.987198 0.987198 0.987198
25 Sweden SE 1.122465 1.145182 1.127125 1.133532 1.150424 1.088097 1.165569 1.227313 1.209256 1.188869 1.125377 1.091592 1.124212 1.068293 1.077030 1.074118 1.027518 0.964609 0.967521 0.971599 0.972764 0.947717 0.941892 0.937232 0.927329 0.888302 0.975094 0.908690 0.890632 0.895875 0.924999 0.887720 0.894127 0.910437 0.849275 0.959949 0.904030 0.912184 0.951212 0.961696 0.890050 0.916844 0.989074 0.965774 0.962279 0.996064 0.977424 0.984996 1.051400 0.972181 1.021111 1.011791 1.114892 1.083438 1.114892 1.140522 1.168482 1.111980 1.070040 1.070623 1.074700 1.084020 1.054313 1.048488 1.045575 1.035673 0.993151 1.032761 1.031596 0.934319 0.943057 0.923834 0.911602 0.902865 0.897622 0.851605 0.897622 0.916262 0.897622 0.902282 0.934902 0.941309 0.949464 0.916844 0.916844 0.912767 0.912767 0.982084 0.906360 0.894710 0.891797 0.932572 0.930824 0.968104 1.019363 0.947134 1.000723 1.000141 1.031596 0.991404 1.042663 1.072953 1.082273 1.088097 1.171977 1.251778 1.236051 1.199936 1.112562 1.096835 1.095670 1.170812 1.205179 1.158579 1.065963 1.077030 0.985579 1.038003 1.044993 1.001306 1.029848 1.032178 0.987909 1.004218 0.922669 0.958784 0.943639 0.902282 0.926164 0.868498 0.924417 0.902282 0.888302 0.880730 0.864420 0.894710 0.904030 0.899952 0.889467 0.913349 0.929659 0.926164 0.909855 0.892380 0.994899 0.987326 0.959949 0.957619 1.023441 0.936649 1.021111 0.990239 1.013538 1.028101 1.046740 1.057225 1.123630 1.163822 1.130619 1.132949 1.123047 1.079943 1.155084 1.178966 1.232556 1.273913 1.283815 1.216828 1.163239 1.134697 1.157997 1.038003 0.982666 0.954707 0.967521 0.915679 0.865585 0.850440 0.862673 0.881312 0.839373 0.873740 0.951212 0.924999 0.923252 1.004218 0.956454 1.003636 0.844615 0.876652 0.870827 0.922669 0.941892 0.883060 0.958201 0.904612 0.935484 0.998976 0.898205 0.966939 0.993734 0.955289 0.897622 0.893545 1.036838 1.040916 1.001888 1.014121 1.024023 1.131784 1.060138 1.071205 1.064798 1.055478 1.096252 1.027518 1.060138 1.032178 0.984414 1.065380 0.950629 0.969851 0.989074 0.938979 1.011208 0.989074 0.939562 0.957036 0.906942 0.865585 0.897622 0.899370 0.841120 0.888885 0.880730 0.895292 0.907525 0.863255 0.881895 0.868498 0.901700 0.865585 0.898205 0.956454 0.839373 0.908107 0.897040 0.959949 0.954124 0.963444 0.944804 1.004218 0.954124 0.989074 0.975094 0.997229 0.983249 1.008296 1.001306 1.063633 1.000723 1.061303 1.101495 1.066545 1.007713 1.076448 1.006548 1.062468 1.035091 1.035673 1.063633 1.007713 1.086350 1.188286 1.388082 1.496425 1.470796 1.321677 1.304202 1.271000 1.158579 1.117222 0.964609 1.019946 1.002471 0.972764 0.975094 0.911602 0.915097 0.881312 0.897040 0.901117 0.915097 0.883642 0.919174 0.865585 0.883642 0.889467 0.881312 0.910437 0.901117 0.898787 0.938979 0.914514 0.984996 0.974511 1.088097 1.158579 1.141104 1.251196 1.233138 1.339152 1.349054 1.382839 1.343230 1.333327 1.306532 1.203431 1.078195 1.082855 1.068293 1.050818 0.964609 1.050235 0.979171 0.998394 0.971599 0.991986 0.965191 0.983249 0.941309 0.975676 0.965191 0.900535 0.879565 0.878982 0.878400 0.854518 0.867915 0.865003 0.892962 0.906942 0.881895 0.924999 0.860343 0.922669 0.897040 0.906942 0.913349 0.934319 0.961114 0.944222 0.969269 0.931407 0.954124 0.978006 0.975094 1.032761 0.999558 1.005383 0.978006 1.025771 1.091010 1.077613 1.095670 1.150424 1.182461 1.163239 1.134114 1.178966 1.240128 1.137609 1.180714 1.125377 1.102077 1.019946 1.014121 0.995481 0.991986 1.013538 0.934902 0.930242 0.926164 0.948299 0.934902 0.961696 0.891797 0.907525 0.886555 0.908107 0.937232 0.950047 0.932572 0.867333 0.965774 0.947134 0.965774 0.996646 0.990821 0.938397 0.884807 0.919174 0.987326 0.988491 1.009461 1.004801 0.970434 0.938397 0.952377 0.930242 0.969851 1.008878 1.053730 1.031596 1.128872 1.273913 1.340900 1.342647 1.381674 1.244206 1.163239 1.072953 1.050235 1.024023 1.009461 1.010626 1.045575 1.056060 1.026353 0.993151 1.003053 0.994316 1.018198 1.036838 1.015868 0.957036 0.913932 0.945969 0.886555 0.906360 0.930824 0.907525 0.913932 0.869662 0.885972 0.860343 0.862673 0.904030 0.870245 0.888302 0.895875 0.899370 0.860343 0.984414 0.895875 0.936649 0.908107 0.936649 1.045575 1.017033 1.051983 1.130619 1.085185 1.134697 1.187121 1.173724 1.144599 1.226148 1.259933 1.209256 1.184791 1.176636 1.138192 1.084603 1.051983 1.025188 1.036838 1.018781 1.001888 0.972764 0.977424 0.980336 0.949464 0.969269 0.957036 0.911602 0.992569 0.915679 0.880147 0.906942 0.897040 0.901700 0.832383 0.906360 0.919174 0.944222 0.878982 0.912767 0.878400 0.955871 0.920339 0.924999 0.934902 0.935484 0.922087 0.935484 0.905195 0.940727 0.959366 0.962861 1.022858 1.008296 0.971599 0.992569 0.982084 0.982666 0.966534
26 Hungary HU 1.122677 1.204873 1.162773 1.204873 1.229733 1.343203 1.315136 1.342802 1.250983 1.187632 1.113455 1.108243 1.078572 1.058123 1.047298 1.047298 1.041684 0.989159 0.970314 0.919392 0.911774 0.872882 0.975927 0.921397 0.828776 0.858447 0.955479 0.998782 0.945455 1.052510 0.809931 0.953474 1.101427 0.802714 0.914982 0.890123 0.878896 0.953875 0.860853 0.878896 0.935030 0.987555 0.977130 0.969512 0.972319 0.928214 0.978333 0.957884 0.956280 0.969512 0.964701 1.008004 1.010009 1.131899 1.058524 1.027250 1.048500 0.995574 1.058524 1.032462 0.998782 1.016424 1.000787 0.977531 0.994772 1.017226 0.984748 0.929416 0.941846 0.947860 0.913779 0.950266 0.954677 0.906562 0.916185 0.896137 0.862457 0.994772 0.923402 0.842810 0.912576 0.886113 0.912977 0.890524 0.850027 0.890925 0.898543 0.930218 0.900548 0.948261 0.907364 0.971517 0.981140 1.017627 0.999584 1.013216 0.985550 0.990763 0.995574 1.018028 1.018429 1.056519 1.036472 1.140720 1.161570 1.265017 1.327566 1.382898 1.433017 1.449857 1.305513 1.199260 1.158763 1.069751 1.070954 1.035269 1.036071 1.020834 0.971116 0.999183 1.013216 0.994371 0.993970 0.938237 0.931421 0.885712 0.955078 0.852433 0.860051 0.920996 0.856442 0.859249 0.917388 0.910571 0.858046 1.065341 0.918992 0.860853 0.864061 0.897741 0.876490 0.918190 0.927011 0.942648 0.973522 1.000787 0.945054 0.937436 0.961092 0.931822 0.971517 1.003593 0.977130 1.064539 1.034467 1.044491 1.053713 1.040481 1.020834 1.072558 1.064539 1.095011 1.135909 1.217704 1.267422 1.297895 1.290277 1.209284 1.153952 1.112252 1.051307 1.032863 0.936634 0.922199 0.919793 0.866065 0.863660 0.943049 0.959488 0.893330 0.899345 0.877292 0.858046 0.892127 0.916185 0.908166 0.957884 0.993970 0.969913 0.881703 0.931421 0.903755 0.908968 0.944653 0.956280 0.947058 1.001589 1.007202 0.975125 0.965903 0.946658 0.947058 0.965502 1.024443 1.026047 1.060128 1.073360 1.121474 1.146735 1.224520 1.238955 1.217704 1.296692 1.356836 1.308320 1.216501 1.157961 1.166381 1.087794 1.095813 0.989961 0.966705 0.967908 0.959488 0.933025 0.979135 0.928614 0.915383 0.885311 0.915383 0.880500 0.917388 1.051708 0.888920 0.900949 0.898944 0.827974 0.918992 0.990763 0.870075 0.888118 0.889321 0.896137 0.951469 0.881703 0.863660 0.898543 0.999985 0.979135 0.955078 0.959889 0.944252 0.920996 0.979536 0.945856 0.922600 0.945054 1.026849 1.012815 1.017627 1.000386 1.047298 1.036472 1.036071 1.091804 1.123479 1.057321 1.103030 1.036472 1.115059 1.044892 1.033665 1.123078 1.039278 1.013617 1.032462 1.005999 0.945856 0.901750 0.918992 0.940643 0.846018 0.878495 0.961894 0.917388 0.829177 0.909770 0.929015 0.869674 0.846018 0.863259 0.947058 0.926610 0.909369 0.891727 0.883306 0.890524 0.935431 0.991164 0.985149 1.027250 1.027651 1.105837 1.198458 1.277045 1.423795 1.588989 1.583777 1.630689 1.671586 1.639510 1.496769 1.504388 1.397332 1.291881 1.284664 1.220511 1.149541 1.156358 1.157961 1.173198 1.271833 1.311528 1.527242 1.724512 1.831568 1.817935 1.659558 1.416177 1.303508 1.190840 1.092205 1.023240 0.959087 0.935832 0.966304 0.952271 0.950266 1.073761 0.957884 0.947058 0.971918 0.846018 1.004395 0.878094 0.942648 0.883707 0.868872 0.910972 0.965502 0.990362 0.951469 0.972720 1.016023 1.068548 1.069751 1.192845 1.335986 1.415375 1.472712 1.615853 1.664369 1.589791 1.466297 1.382497 1.345609 1.255795 1.162773 1.145933 1.176405 1.257399 1.271833 1.279050 1.207680 1.157961 1.106238 1.147938 1.107842 1.113455 1.098620 1.016424 1.045694 1.046496 0.977531 0.954276 0.897340 0.872080 0.937035 0.932624 0.831182 0.929817 1.097016 0.910972 0.874485 1.058925 1.008806 0.940643 0.959087 1.032462 0.939440 0.890123 0.937836 0.910571 1.003593 1.110649 1.036472 1.051708 1.011211 1.035269 1.005197 1.010810 1.026448 1.049302 1.061331 1.142324 1.123880 1.155556 1.200463 1.121073 1.063336 1.061732 1.000787 1.072157 1.081780 1.144329 1.135508 1.088195 1.106238 1.112653 1.087794 1.038476 0.987956 1.007603 0.975125 0.931020 0.950667 0.893330 0.926209 0.912576 0.882505 0.878094 0.869273 0.933025 0.831583 0.861655 0.956280 0.888118 0.858848 0.803516 0.813540 0.953474 0.980739 0.856843 0.872080 0.897741 0.871278 0.842409 0.932223 1.016023 1.003994 1.037274 0.998381 0.969512 0.987555 1.042085 1.066543 1.133503 1.151145 1.198057 1.134706 1.113856 1.078171 1.117866 1.072558 1.098620 1.127088 1.030056 1.024042 1.013216 0.948261 0.996777 0.943851 0.965903 0.966705 0.922199 0.861655 0.901750 0.908968 0.881703 0.900949 0.910170 0.875287 0.887717 0.821158 0.924204 0.875287 0.883306 1.043288 1.156358 0.866867 0.879297 0.880099 1.061331 0.926209 0.919392 0.921798 0.836796 0.966304 1.000386 1.041684 0.965502 0.978333 1.018830 0.973923 0.949063 0.973923 0.965450
27 Croatia HR 1.157369 1.233085 1.254718 1.210468 1.194735 1.265534 1.284217 1.279301 1.218335 1.194735 1.187852 1.211452 1.066903 1.118036 1.060020 1.008887 1.023637 1.002004 0.994138 0.910555 0.931205 0.840740 0.981354 0.983321 0.860406 0.865323 0.979388 0.993154 1.031504 1.209485 0.902689 1.022654 1.048220 0.813207 0.913505 0.895806 0.893839 1.039370 0.876139 0.911539 0.898756 0.929238 0.933172 0.937105 0.987254 0.935138 0.922355 0.939072 0.965621 0.937105 0.922355 1.015771 1.028554 1.096403 1.014787 1.056087 1.095420 1.006921 1.045270 0.972505 0.963655 0.970538 1.029537 1.016754 0.991188 1.067887 0.986271 0.949888 0.915472 0.924322 0.988238 0.896789 0.970538 0.986271 0.946938 0.887939 0.890889 0.958738 0.890889 0.859423 0.894822 0.888922 0.926288 0.859423 0.790590 0.914489 0.935138 0.895806 0.882039 0.887939 0.861389 0.991188 0.942022 1.011837 0.928255 0.951855 0.954805 0.989221 0.967588 0.990204 0.958738 1.049204 1.137703 1.168185 1.241935 1.440565 1.593964 1.450399 1.346167 1.282251 1.144586 1.099353 1.054120 1.085587 0.966605 1.017737 1.020687 0.952838 0.978405 0.953821 0.979388 1.007904 0.982338 0.909572 0.915472 0.879089 0.967588 0.890889 0.842706 0.987254 0.917439 0.956771 0.993154 0.962671 0.848606 1.087553 1.004954 0.835823 0.861389 0.901705 0.860406 0.847623 0.902689 0.952838 0.948905 0.977421 0.923339 0.929238 0.983321 0.960705 0.968571 0.924322 1.002988 1.020687 1.010854 0.972505 1.074770 1.109186 1.145569 1.182935 1.118036 1.126886 1.134753 1.137703 1.115086 1.204568 1.244885 1.145569 1.054120 1.043304 1.047237 0.990204 0.931205 1.010854 0.863356 0.919405 0.903672 0.914489 0.934155 0.901705 0.885972 0.830906 0.869256 0.968571 0.931205 0.895806 0.900722 1.026587 1.012821 0.940055 0.923339 0.864339 0.902689 0.913505 0.910555 0.897772 1.017737 0.941038 0.943005 0.987254 0.934155 0.909572 0.969555 0.964638 0.992171 0.965621 1.052154 1.060020 1.095420 1.134753 1.199652 1.217352 1.297001 1.264551 1.114103 1.107220 1.074770 1.013804 1.111153 1.001021 0.953821 0.970538 1.014787 0.942022 0.898756 1.015771 0.931205 0.942022 0.927272 0.936122 0.878106 1.006921 1.022654 0.893839 0.943988 0.914489 0.855489 0.917439 0.968571 0.850573 0.877122 0.869256 0.912522 0.923339 0.817140 0.878106 0.860406 0.928255 0.905639 0.958738 0.926288 0.903672 0.924322 0.949888 0.982338 0.899739 0.899739 0.972505 1.003971 1.030521 1.006921 1.015771 1.038387 0.999054 1.115086 1.075753 1.041337 1.072803 1.027571 1.003971 1.038387 1.063953 1.075753 1.103286 0.995121 0.984304 0.961688 0.853523 0.893839 0.865323 0.892856 0.888922 0.833856 0.955788 0.962671 0.874172 0.911539 0.953821 0.903672 0.873189 0.957755 1.041337 0.940055 0.910555 0.905639 0.955788 0.915472 0.983321 0.958738 0.946938 1.047237 0.953821 1.077720 1.117053 1.136719 1.265534 1.338300 1.464165 1.459249 1.684429 1.731628 1.755228 1.652963 1.499565 1.319617 1.335350 1.285201 1.223251 1.183919 1.141636 1.102303 1.077720 1.016754 1.061987 1.003971 1.122953 1.210468 1.261601 1.267501 1.296017 1.318634 1.231118 1.234068 1.087553 1.029537 1.123936 1.043304 1.012821 1.097386 0.965621 0.985288 0.974471 0.893839 1.051170 0.941038 1.045270 0.979388 0.946938 1.025604 1.073787 1.092470 1.061987 1.087553 1.080670 1.111153 1.197685 1.302900 1.380583 1.509398 1.536931 1.687379 1.608713 1.541848 1.510381 1.463182 1.453349 1.391399 1.381566 1.429749 1.532014 1.586097 1.391399 1.398283 1.214402 1.197685 1.118036 1.158352 1.070837 1.077720 1.061003 1.066903 1.021671 0.980371 1.014787 1.000038 0.854506 0.885972 0.912522 0.937105 0.857456 0.976438 0.999054 1.030521 0.934155 1.089520 1.094436 1.079687 0.973488 0.945955 1.014787 0.943988 0.954805 0.895806 0.902689 1.058054 1.006921 0.981354 0.966605 0.975455 0.953821 1.000038 0.960705 1.022654 1.019704 1.066903 1.112136 1.229151 1.262584 1.248818 1.138686 1.109186 1.096403 1.113120 1.063953 1.097386 1.072803 0.967588 0.949888 0.929238 0.958738 0.908589 0.957755 0.965621 0.971521 0.935138 0.939072 0.883022 0.890889 0.918422 0.890889 0.885972 0.810257 0.959721 0.884989 0.863356 0.914489 0.969555 0.907605 0.928255 0.813207 0.987254 0.955788 0.889906 0.910555 0.849589 0.909572 0.899739 0.935138 0.911539 0.943005 0.948905 0.915472 0.877122 0.957755 0.949888 1.021671 1.133769 1.107220 1.201618 1.130819 1.149502 1.150486 1.083620 1.166219 1.128853 1.204568 1.085587 1.010854 0.917439 0.928255 0.942022 0.920389 0.907605 0.970538 0.883022 0.846639 0.858439 0.893839 0.900722 0.881056 0.834840 0.826973 0.930222 0.869256 0.838773 0.889906 0.831890 0.957755 1.132786 0.917439 0.965621 0.903672 1.044287 0.976438 0.975455 0.984304 0.834840 0.984304 1.001021 0.942022 0.933172 0.898756 0.911539 0.869256 0.956459 0.956459 0.956459
28 Serbia RS 1.187612 1.244504 1.136816 1.142404 1.122593 1.108878 1.188120 1.207423 1.221646 1.151039 1.107354 1.110402 1.127165 1.082464 1.046399 1.137324 1.068241 1.045383 0.987984 0.942267 0.934648 0.873185 1.012874 0.943283 0.852866 0.871153 0.922965 0.992047 0.984428 1.119038 0.860486 0.900614 0.964617 0.840675 0.902646 0.933632 0.829500 1.010842 0.855914 0.873185 0.935664 0.987984 0.958014 1.019985 0.991031 0.954458 0.995603 0.962586 0.961570 0.924997 0.992047 1.042843 1.053003 1.180501 1.059606 1.054019 1.064178 1.064686 1.035224 1.045383 0.977316 1.015414 0.973761 1.005762 0.974777 1.024557 1.040812 0.928552 0.958014 0.947347 0.931092 0.965125 0.945823 0.989000 0.932108 0.856930 0.946331 1.022525 0.897059 0.836611 0.901630 0.917885 0.891979 0.846771 0.836103 0.901122 0.862009 0.899091 0.862009 0.888423 0.875724 0.958522 0.957506 1.017953 1.021509 0.967665 0.969189 0.976301 1.007286 1.046907 0.985444 0.998143 1.047923 1.219614 1.455308 1.617347 1.717415 1.519819 1.336953 1.283617 1.088560 1.107354 1.124625 1.070781 1.026589 1.009826 0.999159 0.927536 0.993063 0.987476 1.045891 1.008302 0.978332 0.959538 0.957506 0.914837 0.998143 0.902138 0.883852 0.906710 0.959030 0.842199 0.925504 0.895535 0.852358 0.954458 0.972237 0.878264 0.855406 0.897059 0.811721 0.857946 0.851850 0.900614 0.957506 0.964109 0.996619 0.960046 0.930076 0.972237 0.979348 0.905694 0.962078 0.990523 0.986460 0.997635 0.969189 1.018461 1.007794 1.118022 1.071797 1.178469 1.221138 1.270918 1.227233 1.261267 1.189644 1.107354 1.068241 1.048431 1.048431 0.991031 0.901630 0.921441 0.921441 0.872169 0.894519 0.889947 0.912805 0.911790 0.874200 0.827468 0.869121 0.948363 0.894011 0.895027 0.866073 0.899598 0.925504 0.923981 0.918393 0.841691 0.871661 0.876232 0.923981 0.942775 1.030652 0.989000 0.958522 0.987984 0.974269 0.948363 0.978332 0.993063 1.021001 0.975793 1.007794 1.035224 1.057574 1.126149 1.131229 1.090592 1.161198 1.277521 1.233329 1.204375 1.198279 1.185072 1.072305 1.044875 1.023541 0.970205 0.999159 1.002715 0.968681 0.995603 0.935156 0.933124 0.941759 0.974269 0.946839 0.987984 1.004238 0.921441 0.913821 0.939727 0.865057 0.897059 0.943791 0.869121 0.889439 0.897567 0.898583 0.899091 0.802578 0.824928 0.852866 0.957506 0.909758 0.953950 0.966141 0.951410 0.951410 0.967157 0.966141 0.937696 0.995095 0.961062 0.991031 0.971729 0.944299 1.058082 1.081448 1.143928 1.177453 1.223677 1.156119 1.145451 1.123101 1.053511 1.038272 0.998651 1.050971 1.056558 1.070273 1.084496 1.059606 0.970205 0.943791 0.930076 0.990015 0.855914 0.885376 0.963094 0.934648 0.928044 1.014906 1.188628 1.133768 1.079925 1.170342 1.148499 1.025573 0.995095 0.944807 0.955982 0.910774 0.922457 0.929060 0.886392 0.948363 0.935664 0.962586 1.014398 1.048939 1.127165 1.284633 1.475626 1.738242 2.077559 2.064860 1.986634 1.874883 1.701669 1.513723 1.421274 1.374034 1.350160 1.288188 1.224185 1.298348 1.307491 1.329841 1.451244 1.453276 1.577218 1.593981 1.583822 1.497976 1.411115 1.383685 1.185580 1.194216 1.105323 1.035224 1.042843 1.051479 0.971729 1.154595 1.011350 0.986968 1.001191 0.854898 1.033700 0.908742 0.964617 0.939219 0.981380 1.115482 1.223169 1.470546 1.513215 1.666619 1.788530 1.823579 1.826119 1.805292 1.826627 1.695573 1.593473 1.470546 1.432449 1.411623 1.316126 1.259743 1.273966 1.167294 1.230281 1.288696 1.210470 1.761608 1.777355 1.542677 1.158151 1.255679 1.120561 1.072305 1.039288 1.070781 0.989508 0.908234 0.847279 0.907218 0.955982 0.918393 0.832548 0.693366 0.875216 0.831024 0.775656 0.867597 0.917885 0.865057 0.842707 0.953442 0.963094 0.979856 0.946331 1.021001 0.971729 0.919917 0.983412 0.908742 0.968681 1.044367 0.964617 0.983412 0.954966 0.857438 0.932616 0.936680 0.950903 0.961570 1.001699 1.017445 1.024049 0.997635 1.069765 1.033700 1.076369 1.038780 0.979856 1.078401 1.051987 1.177453 1.035732 1.036240 0.977824 0.975285 0.967157 0.932616 0.918901 0.894519 0.893503 0.746194 0.905694 0.848802 0.892995 0.881312 0.843723 0.851342 0.803086 0.932616 0.821373 0.839659 0.944299 0.937188 0.813245 0.840675 0.802578 0.876740 0.921441 0.834580 0.792419 0.849818 0.882328 0.813245 0.880296 0.930076 0.997635 0.960046 0.882328 0.891979 0.980364 0.966649 1.087036 1.011350 1.060622 1.007794 0.609045 1.079925 1.106846 1.145959 1.133768 1.058082 1.159166 1.072305 0.983412 0.971221 0.924997 0.904170 0.873692 0.495262 0.839659 0.908742 0.849310 0.872677 0.897059 0.836103 0.811721 0.875216 0.818833 0.895535 0.806134 0.965633 0.826960 0.846771 0.964109 1.261774 0.891471 0.813245 0.842199 1.036748 0.965633 0.911790 0.885884 0.812229 0.859978 0.918901 0.921949 0.927028 0.885376 0.936172 0.925434 0.925434 0.925434 0.925434
29 Lithuania LT 1.073974 1.052342 1.151595 1.085426 1.121056 1.110876 1.171955 1.168138 1.173228 1.159230 1.140143 1.156685 1.093061 1.080337 1.103241 1.132508 1.006533 0.996353 1.012895 0.970903 1.020530 0.992535 1.081609 0.941636 0.953088 0.879284 1.052342 0.969631 0.876740 0.920004 0.925094 1.045980 0.958178 0.836020 0.895827 0.886919 0.832203 0.932729 0.923821 0.942909 0.939091 1.093061 1.090516 1.025620 0.940364 1.037072 0.963268 0.968358 1.000170 0.983628 1.000170 1.107059 1.145233 1.075247 1.140143 1.191042 1.152868 1.161775 1.133781 1.063794 1.096879 1.051069 1.043435 1.051069 0.974721 1.048524 1.005260 1.023075 1.009078 0.983628 0.975993 0.963268 0.920004 1.034527 1.072702 0.925094 0.844928 0.967086 1.094334 0.875467 0.858925 0.920004 0.998898 0.878012 0.846200 0.909824 0.967086 0.935274 0.902189 0.830930 0.931456 0.945454 0.967086 1.011623 1.035800 1.030710 1.010350 1.045980 1.020530 0.987445 0.956906 0.956906 0.965813 1.089244 1.110876 1.219037 1.245759 1.234307 1.212675 1.219037 1.174500 1.115966 1.151595 1.053614 1.005260 0.970903 0.973448 0.981083 0.963268 0.968358 0.953088 0.989990 0.944181 1.009078 0.969631 0.981083 0.879284 0.920004 0.894554 0.920004 0.890737 0.850017 0.904734 0.886919 0.942909 0.823295 0.899644 0.865287 0.757126 0.926366 0.875467 0.864015 0.908552 0.920004 0.977266 0.944181 0.983628 0.988718 1.002715 0.931456 0.997625 0.979811 0.917459 1.005260 0.881829 0.993808 1.017985 1.051069 1.002715 1.118511 1.096879 1.159230 1.217764 1.205040 1.227944 1.226672 1.149051 1.091789 1.020530 1.017985 1.089244 1.005260 0.998898 0.892009 0.940364 0.988718 0.923821 0.900917 0.928911 0.791483 0.875467 0.842383 0.824568 0.792756 0.879284 0.932729 0.914914 1.026892 0.936546 0.862742 0.883102 0.792756 0.797846 0.820750 0.837293 0.867832 0.892009 0.927639 0.904734 0.958178 0.898372 0.872922 0.866560 0.925094 0.942909 1.072702 0.983628 0.979811 1.044707 1.071429 1.117238 1.157958 1.249577 1.138871 1.086699 1.017985 1.057432 0.996353 0.996353 0.959451 0.992535 0.862742 0.923821 0.920004 0.902189 0.983628 0.908552 0.879284 0.899644 1.002715 0.900917 1.002715 0.970903 0.839838 0.949271 0.861470 0.853835 0.866560 0.925094 0.777486 0.846200 0.841110 0.865287 0.909824 0.842383 0.808026 0.815660 0.900917 0.908552 0.862742 0.931456 0.841110 0.853835 0.916186 0.836020 0.893282 0.984900 0.866560 0.923821 0.916186 0.951816 1.033255 1.021802 1.001443 1.000170 0.969631 0.972176 1.029437 0.899644 1.026892 0.983628 0.983628 1.023075 1.038345 0.986173 1.021802 0.997625 1.000170 0.978538 0.912369 0.932729 0.909824 0.947998 0.935274 1.043435 0.967086 1.031982 0.876740 0.894554 0.972176 0.963268 0.920004 0.923821 0.949271 0.970903 0.917459 0.856380 0.927639 0.917459 0.997625 0.946726 0.998898 1.063794 1.075247 1.085426 1.115966 1.211402 1.398457 1.411182 1.575332 1.552427 1.744572 1.775111 1.708942 1.526977 1.520615 1.393367 1.385732 1.239397 1.252121 1.187225 0.997625 1.110876 1.142688 1.049797 1.058704 0.981083 1.140143 1.071429 1.107059 1.047252 1.121056 1.101969 1.065067 1.039617 1.058704 1.038345 1.023075 1.166865 0.874195 1.049797 1.123601 0.890737 0.956906 0.918731 1.002715 1.023075 1.003988 0.981083 1.101969 1.165593 1.238124 1.290296 1.283934 1.375552 1.383187 1.412454 1.334833 1.313201 1.238124 1.263574 1.226672 1.227944 1.269936 1.367917 1.250849 1.216492 1.197405 1.236852 1.166865 1.127418 1.318290 1.248304 1.205040 1.133781 1.141416 1.133781 1.128691 1.068884 1.035800 1.007805 1.124873 1.020530 0.981083 0.912369 0.937819 0.932729 0.799118 0.963268 0.935274 0.947998 1.124873 0.875467 0.830930 0.880557 0.918731 0.979811 0.876740 1.113421 0.997625 0.852562 0.864015 0.996353 0.900917 1.051069 1.067612 0.997625 1.084154 0.944181 0.889464 0.946726 0.935274 1.019257 1.002715 1.118511 1.183407 1.229217 1.324653 1.263574 1.163048 1.035800 1.076519 0.963268 0.892009 0.706227 0.967086 0.949271 0.993808 0.949271 0.964541 0.867832 0.894554 0.940364 0.909824 0.867832 0.890737 0.995080 0.894554 0.899644 0.862742 0.844928 0.921276 0.889464 0.787666 0.846200 0.808026 0.833475 0.869105 0.806753 0.799118 0.885647 0.847472 0.805481 0.805481 0.879284 0.860197 0.881829 0.814388 0.900917 0.906007 0.984900 1.009078 0.947998 0.942909 1.047252 0.979811 1.063794 1.058704 1.057432 1.070157 1.105786 1.025620 1.075247 1.086699 1.025620 0.984900 1.051069 0.974721 0.922549 0.927639 0.920004 0.928911 0.880557 1.015440 0.876740 0.872922 0.864015 0.889464 0.851290 0.923821 0.816933 0.945454 0.902189 0.841110 0.843655 0.996353 0.805481 0.837293 0.884374 0.883102 0.836020 0.864015 0.865287 0.869105 0.904734 0.806753 0.858925 0.815660 0.912369 0.898372 0.987445 0.947998 0.950543 0.922549 0.900917 0.917770 0.917770
30 Latvia LV 1.125415 1.108999 1.134535 1.127239 1.138183 1.045159 1.136359 1.087111 1.107175 1.103527 1.094407 1.030567 1.012327 1.030567 1.094407 1.039687 1.057927 0.941190 0.935718 0.997735 0.975846 0.975846 0.950310 0.837221 1.001383 0.953958 1.065223 0.888294 0.957606 0.926598 0.901062 0.953958 0.948486 0.948486 0.857286 0.798917 0.871878 0.921126 0.963078 0.890118 0.937542 1.012327 1.043335 1.003207 0.912006 0.992262 0.948486 0.944838 0.979494 0.953958 1.034215 1.088935 1.059751 1.247624 1.183784 1.156424 1.222088 1.005031 1.015975 1.059751 1.030567 1.108999 1.061575 1.101703 1.052455 1.105351 1.048807 1.032391 0.992262 0.979494 0.948486 0.994086 0.979494 0.961254 1.017799 0.897414 0.917478 1.068871 0.961254 0.846342 0.893766 0.893766 0.864582 0.848166 0.864582 0.955782 1.003207 0.849990 0.901062 0.937542 0.928422 0.952134 1.003207 0.979494 1.081639 0.871878 1.014151 0.981318 0.952134 1.041511 0.974022 0.974022 0.963078 1.112647 1.041511 1.105351 1.123591 1.150952 1.034215 1.149127 1.136359 1.161896 1.267688 1.189256 1.169192 1.034215 1.119943 1.039687 1.098055 1.008679 1.010503 0.974022 1.021447 1.001383 0.990438 0.890118 0.930246 1.005031 0.908358 0.939366 0.882822 0.833573 0.972198 0.941190 0.879174 0.853638 0.839045 0.913830 0.868230 0.926598 0.859110 1.006855 0.975846 0.974022 1.037863 0.963078 0.957606 0.974022 0.990438 0.912006 1.043335 1.021447 1.012327 1.006855 1.054279 1.083463 1.032391 1.034215 1.012327 1.090759 1.105351 1.070695 1.036039 1.074343 1.223912 1.289576 1.274984 1.211144 1.287752 1.253096 1.181960 1.105351 1.061575 0.943014 0.915654 1.010503 0.959430 0.961254 0.979494 0.824453 0.829925 0.895590 0.902886 0.897414 0.974022 1.070695 0.963078 1.079815 0.882822 0.802565 0.880998 0.886470 0.950310 0.849990 0.935718 0.917478 0.994086 0.913830 0.915654 0.937542 0.981318 0.975846 0.950310 0.904710 0.970374 1.043335 1.021447 1.118119 1.074343 1.068871 1.220264 1.220264 1.116295 1.160072 1.129063 1.092583 1.087111 1.043335 1.048807 0.972198 1.015975 1.025095 0.953958 1.006855 0.928422 1.028743 0.829925 0.994086 0.913830 0.972198 0.893766 0.908358 0.890118 0.921126 0.855462 0.880998 0.899238 0.975846 0.897414 0.831749 0.817157 0.882822 0.826277 0.862758 0.831749 0.921126 0.844518 1.025095 0.974022 0.970374 0.932070 0.932070 0.928422 0.886470 0.877350 0.981318 0.999559 0.992262 1.017799 1.026919 1.088935 1.099879 1.077991 0.979494 1.012327 1.021447 0.974022 0.994086 0.990438 0.953958 0.924774 1.001383 0.995910 0.970374 1.041511 1.034215 0.937542 1.010503 0.952134 0.826277 1.070695 0.981318 0.922950 0.921126 0.953958 0.937542 1.021447 0.941190 0.860934 0.959430 0.901062 0.899238 0.913830 0.955782 0.966726 0.862758 0.877350 0.877350 0.888294 0.977670 0.990438 0.926598 1.015975 1.048807 1.019623 1.017799 1.043335 1.094407 1.127239 1.220264 1.296872 1.331529 1.495690 1.391721 1.532170 1.504810 1.450089 1.442793 1.395369 1.293224 1.243976 1.218440 1.099879 1.112647 1.150952 1.068871 1.114471 1.017799 1.087111 1.099879 1.149127 1.110823 1.198376 1.110823 1.043335 1.039687 1.167368 0.959430 1.302344 1.127239 1.074343 1.152776 0.935718 1.006855 1.006855 0.904710 1.008679 0.917478 0.975846 1.103527 1.023271 1.138183 1.192904 1.212968 1.420905 1.687211 1.679915 1.690859 1.632491 1.532170 1.324233 1.243976 1.271336 1.194728 1.220264 1.282280 1.247624 1.240328 1.189256 1.074343 1.220264 1.231208 1.324233 1.222088 1.276808 1.187432 1.262216 1.214792 1.112647 1.096231 1.036039 1.025095 1.019623 0.955782 0.964902 0.974022 0.959430 0.966726 0.955782 0.926598 1.005031 1.092583 0.853638 0.873702 0.912006 0.946662 0.972198 0.915654 1.028743 0.899238 0.886470 0.939366 0.955782 0.981318 1.061575 1.063399 1.065223 0.995910 1.014151 0.963078 0.921126 1.065223 1.068871 1.030567 1.085287 1.233032 1.280456 1.433673 1.295048 1.349769 1.160072 1.077991 1.048807 1.032391 1.119943 1.121767 1.015975 0.975846 0.906534 1.026919 0.891942 0.922950 0.999559 1.074343 0.977670 0.935718 0.926598 0.928422 0.829925 0.891942 0.822629 0.935718 0.968550 0.893766 0.758789 0.778853 0.855462 0.780677 0.860934 0.866406 0.901062 0.811685 0.795269 0.818981 0.871878 0.860934 0.886470 0.884646 0.895590 1.014151 1.025095 1.039687 0.915654 1.021447 1.074343 1.070695 1.152776 1.130887 1.107175 1.065223 1.085287 1.085287 1.141831 1.132711 1.063399 1.032391 1.045159 1.072519 0.979494 0.932070 0.922950 0.975846 0.995910 0.913830 0.917478 0.793445 0.848166 0.882822 0.849990 0.868230 0.837221 0.897414 0.811685 0.791621 0.888294 0.981318 0.789797 0.831749 0.826277 0.811685 0.842693 0.842693 0.815333 0.802565 0.899238 0.851814 0.860934 0.804389 0.789797 0.930246 1.039687 0.961254 0.943014 0.866406 0.914908 0.914908 0.914908
31 Bulgaria BG 1.195412 1.200670 1.156218 1.117980 1.116068 1.096949 1.118936 1.211663 1.224090 1.180117 1.165300 1.128974 1.134709 1.082610 1.082610 1.071617 1.020474 1.032901 1.006612 0.946866 0.948300 0.878038 0.941130 0.946388 0.910062 0.878516 0.872302 0.969331 0.908150 1.004223 1.021908 0.955469 0.926791 0.852705 0.878516 0.943998 0.825460 0.901458 0.825938 0.875648 0.922489 0.961683 0.987016 1.045806 0.999921 1.061579 1.011392 0.968853 0.959771 1.016650 1.041027 1.031467 1.027165 1.166734 1.091214 1.089780 1.131364 1.100773 1.062057 1.005179 1.000399 0.935394 0.999443 1.001833 0.967897 1.003745 1.015694 0.920099 0.929181 0.940652 0.970764 0.981758 0.951168 0.960727 0.952123 0.851749 0.961683 1.024298 0.936350 0.863220 0.939696 0.872780 0.908628 0.942086 0.863220 0.862264 0.891421 0.840756 0.839322 0.869434 0.863220 0.889987 0.966941 1.008046 1.009002 1.020474 0.993229 1.023342 1.017606 1.001833 1.026687 1.098861 1.088346 1.163866 1.341672 1.517088 1.539075 1.346452 1.255637 1.207361 1.122760 1.126584 1.104119 1.023342 1.067315 1.011870 1.012348 1.003745 0.996097 0.969331 1.012348 0.972676 0.934916 0.948778 0.944954 0.948778 0.981758 0.936828 0.916275 0.935394 1.096472 0.960727 0.919143 0.858919 0.915797 0.930137 0.985582 0.846969 0.842668 0.862742 0.844101 0.929181 0.813033 0.817335 0.924401 0.935872 0.987972 0.985104 0.986060 0.962639 1.009480 0.990361 0.985582 0.965985 1.008046 0.975544 1.076397 1.086912 1.035291 1.134709 1.128974 1.225524 1.172947 1.138055 1.068271 1.179639 1.139489 1.069705 1.033379 0.984626 0.992273 0.985582 0.952123 0.990839 0.925357 0.901936 0.917709 0.905760 0.916753 0.933005 0.846491 0.849359 0.857963 0.906238 0.939696 0.943998 0.944954 0.910062 0.912452 0.889031 0.872302 0.872780 0.881861 0.881383 0.901458 0.902892 0.987972 0.975066 1.019996 1.000877 0.987016 0.991317 1.021430 1.033857 1.057278 1.108421 1.119892 1.120848 1.163388 1.209273 1.287661 1.316339 1.361747 1.230304 1.073051 1.099339 1.081654 1.086434 1.035769 1.014738 1.027643 0.994185 1.009480 0.999921 0.972676 0.980324 0.946866 1.013304 0.946388 0.956425 0.940174 0.922967 0.952123 0.968853 0.912930 0.933483 0.869912 0.892377 0.937306 0.887119 0.906238 0.917709 0.924401 0.889509 0.830240 0.836932 0.855095 0.873258 0.902414 0.902414 0.941608 0.913408 0.975066 1.048674 0.968853 0.933960 0.992273 1.016172 1.009480 1.020952 1.013304 0.999443 1.081176 1.035291 1.135187 1.153828 1.112723 1.092648 1.023820 1.028599 0.961205 0.955947 0.941608 0.955469 0.932527 0.917709 0.967419 0.946866 0.903848 0.914364 0.997531 0.907194 0.859875 0.918665 0.932527 0.922489 0.910062 1.021908 0.976500 0.882339 0.949734 1.032901 0.984148 0.943998 0.913408 0.925835 0.930137 0.913886 0.883773 0.881383 0.949256 0.996097 1.030989 1.133753 1.305824 1.546723 1.887040 2.106430 2.265117 2.271809 2.088745 1.885606 1.549591 1.418626 1.256115 1.189676 1.206883 1.177727 1.141401 1.133275 1.192066 1.237474 1.316817 1.443480 1.620809 1.761811 1.932925 1.810086 1.786665 1.642795 1.500359 1.338804 1.219789 1.128974 1.043894 1.002789 0.981758 0.970286 1.095038 1.022386 1.003267 0.999443 0.925357 1.005657 1.071617 1.072095 0.996575 1.122282 1.184897 1.270454 1.386124 1.326855 1.358401 1.468813 1.626544 1.835897 1.935315 1.993628 1.955868 1.905681 1.747950 1.668606 1.582093 1.497013 1.481718 1.474071 1.515176 1.513265 1.565842 1.673386 1.744126 1.745082 1.658569 1.455908 1.296264 1.276668 1.167212 1.196846 1.144269 1.104597 1.026687 0.984148 1.024775 0.904804 0.967419 0.947822 0.943998 0.908150 0.844579 0.850793 0.888075 0.895245 0.889031 0.921533 0.957381 1.034335 1.030033 0.981758 0.990839 0.948300 0.889987 0.925835 0.909584 0.881383 0.943042 0.941130 0.954035 1.001355 1.014260 1.032423 0.999921 1.024298 0.929659 0.965507 1.024298 1.013304 1.014260 1.060623 1.101251 1.084044 1.137577 1.006135 0.982714 1.028599 1.080698 0.997531 0.946388 0.920577 0.934916 0.917231 0.942564 0.876604 0.904326 0.941608 0.889987 0.885685 0.876604 0.880427 0.915320 0.877560 0.876604 0.808731 0.926313 0.779575 0.824982 0.916753 0.991795 0.868956 0.860831 0.807297 0.843145 0.909584 0.827372 0.778141 0.821159 0.829762 0.832630 0.819247 0.911496 0.930137 0.965507 0.927747 0.951168 0.976022 1.015216 0.995619 0.960727 0.984148 0.966941 1.075919 1.101729 1.046762 1.083088 1.067315 1.068749 1.049630 0.970764 0.964551 0.898112 0.867044 0.893333 0.854139 0.871346 0.877560 0.866088 0.852705 0.823071 0.825938 0.877560 0.832630 0.856529 0.882817 0.921533 0.892855 0.824505 0.874214 0.850315 0.918187 1.040549 0.881383 0.847925 0.872302 0.902414 0.889509 0.816857 0.833586 0.811121 0.853661 0.901458 0.818291 0.904553 0.904553 0.904553 0.904553 0.904553 0.904553 0.904553
32 Romania RO 1.159922 1.168917 1.119745 1.100956 1.111350 1.136935 1.162320 1.255466 1.227083 1.181109 1.164119 1.168117 1.172315 1.085765 1.084366 1.113549 1.055783 1.010009 0.963836 0.932855 0.953243 0.860697 0.982026 0.935853 0.881485 0.856099 0.886282 0.920262 0.882684 0.998816 0.909668 0.887281 0.900074 0.824918 0.882084 0.910268 0.807528 0.914265 0.862096 0.867893 0.919063 0.982825 0.991820 0.996217 1.025201 1.036994 1.014207 0.984624 1.008011 0.997617 1.035195 1.049187 1.071573 1.153326 1.068375 1.077170 1.102156 1.084766 1.039992 1.052185 1.036594 1.022202 0.980027 1.022402 1.017405 1.044389 1.044189 0.951044 0.971432 0.939451 0.983025 0.970233 0.928657 0.963637 0.946247 0.879286 0.963237 1.137735 0.936053 0.838310 0.899674 0.846905 0.914865 0.937052 0.831314 0.881485 0.858698 0.849503 0.893677 0.898874 0.846305 0.934254 0.953043 1.020004 1.036794 1.006012 1.017805 0.992020 1.018804 1.017005 1.024601 1.058781 1.070574 1.165119 1.249869 1.387189 1.394585 1.295642 1.260063 1.212491 1.144331 1.143531 1.117946 1.078969 1.026000 1.015206 1.006212 0.990421 0.974630 1.005412 1.043990 0.977828 0.987223 0.932455 0.906270 0.888880 0.925059 0.941250 0.886282 0.928857 1.022802 0.875688 0.875888 0.905271 0.880085 1.016406 0.976429 0.870491 0.853701 0.880485 0.859697 0.898275 0.859697 0.872690 0.995618 0.987822 0.989821 0.978428 1.011608 0.996817 0.999216 0.997617 1.002214 1.004812 1.049187 1.034595 1.046788 1.065977 1.039592 1.099357 1.097358 1.160921 1.132938 1.166918 1.171115 1.221486 1.229681 1.146130 1.084766 1.092361 1.059381 1.046588 0.954242 0.973031 0.934454 0.907469 0.926858 0.934653 0.971632 0.930656 0.931056 0.880085 0.838310 0.917663 0.939251 0.899874 0.900473 0.941050 0.937252 0.938251 0.907869 0.881085 0.869292 0.890279 0.903472 0.928057 1.038193 1.009010 1.062978 1.028399 1.027399 0.992020 1.015806 1.072173 1.057582 1.090762 1.091562 1.123943 1.152926 1.159722 1.229681 1.254466 1.255066 1.246471 1.149728 1.103755 1.073173 1.105554 1.102755 1.091562 1.075371 0.986423 1.040791 1.021203 0.958639 0.974630 1.008410 0.942449 0.961838 0.956641 0.930056 0.936253 0.991220 0.988422 0.938851 0.971632 0.871291 0.890479 0.948845 0.899074 0.890479 0.900673 0.932655 0.908069 0.849703 0.868692 0.870291 0.946047 0.973031 0.958240 0.960638 0.949845 0.958839 0.990021 0.933254 0.944848 0.998416 1.014007 1.059980 1.014807 1.029598 1.068575 1.074572 1.083167 1.069375 1.085765 1.085965 1.076371 1.041591 1.067576 1.035794 1.018804 1.005812 1.035395 1.037393 1.046788 1.024601 1.017805 0.971632 0.962837 0.973431 0.911467 0.911267 0.981426 1.015206 0.934853 0.964836 1.056982 0.979427 0.944848 0.989621 1.111350 1.062978 1.053784 1.033196 1.043190 1.014207 1.004213 1.012808 1.009410 1.075771 1.158523 1.242274 1.301639 1.401181 1.549894 1.597466 1.673422 1.702005 1.719395 1.633445 1.484132 1.484132 1.408576 1.356807 1.305437 1.396384 1.267059 1.256665 1.189704 1.193502 1.192703 1.248670 1.281251 1.371998 1.427565 1.444156 1.437759 1.429564 1.355607 1.298441 1.177511 1.120345 1.059980 0.994219 0.968834 0.974630 0.931855 1.104754 0.963037 0.936652 0.989022 0.927258 1.000815 0.972032 0.901673 0.935653 0.919462 0.936652 1.066776 1.194701 1.272056 1.493327 1.888496 2.164734 2.326839 2.268873 2.160337 1.780759 1.590470 1.396983 1.253867 1.190504 1.150128 1.176312 1.148928 1.172914 1.167917 1.210692 1.323826 1.480934 1.548295 1.536901 1.385990 1.277453 1.220087 1.135136 1.127940 1.171715 1.068375 1.055783 0.992420 1.008810 0.945247 0.967634 0.921661 0.878286 0.909668 0.866293 0.855700 0.889680 0.943049 0.900274 0.859298 0.954442 1.038593 1.016406 0.986423 1.028599 1.001814 0.933454 0.899474 0.884483 0.918463 0.973031 0.935653 0.950444 0.974630 0.939251 0.931655 0.916864 0.988422 0.965236 0.937252 1.022002 0.995618 1.031597 0.960438 1.159722 1.138934 1.104754 1.020004 1.029598 1.016006 1.043990 0.995618 0.964036 0.992420 0.959639 0.972631 0.943248 0.941450 0.941450 0.962437 0.905071 0.940650 0.910867 0.932655 0.894077 0.823918 0.874089 0.833513 0.903272 0.793936 0.832113 0.866493 0.937052 0.807928 0.824918 0.791937 0.899274 0.924060 0.878087 0.799732 0.831514 0.855700 0.837710 0.879286 0.926059 0.939651 0.942049 0.916864 0.918463 0.895077 0.946447 0.947646 0.922061 0.951244 0.961038 0.817322 1.125342 1.121144 1.134737 1.122144 1.079569 1.110751 0.997017 0.965835 0.917264 0.934454 0.905071 0.888480 0.893478 0.888281 0.866094 0.838710 0.838909 0.858698 0.825118 0.742766 0.669409 0.600449 0.540684 0.499108 0.486116 0.428350 0.409361 0.466927 0.565469 0.411359 0.748562 0.859298 0.975230 0.948445 0.881285 0.845905 0.828715 0.824318 0.900074 0.883084 0.879686 0.884483 0.925259 0.825940 0.825940 0.825940 0.825940

BoxPlots¶

in the box plots below you can see there a difference between the how different countries have recovered from the 2020 pandemic

In [18]:
# Box Plots

# Create the box plot
sns.boxplot(
    x="year", 
    y="deaths_norm", 
    data=ddy
    )
# Add a title
plt.title("BoxPlot - deaths (normalized) from 2015-2024")
# Show the plot
plt.show()

# Create the box plot
sns.boxplot(
    x="year", 
    y="deaths_norm", 
    data=ddy[ddy.abbr.isin(ddr2024.head(10).abbr)]
    )
# Add a title
plt.title(f"BoxPlot - top 10 deaths 2024 (normalized) countries\n{ddr2024.head(10).abbr.to_list()}")
# Show the plot
plt.show()

# Create the box plot
sns.boxplot(
    x="year", 
    y="deaths_norm", 
    data=ddy[ddy.abbr.isin(ddr2024.tail(10).abbr)]
    )
# Add a title
plt.title(f"BoxPlot - bottom 10 deaths 2024 (normalized) countries\n{ddr2024.tail(10).abbr.to_list()}")
# Show the plot
plt.show()
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image
In [19]:
title = 'Map of Europe 2024'
display(MD(f'### {title}'))
report = r"docs\ddr2024_map.html"

temp = ddr2024.copy()
temp['iso_alpha'] = temp.abbr.apply(abbr_to_isoalpha3)
temp['size'] = pow(temp[2024],30)

fig = px.scatter_geo(
    temp,
    locations="iso_alpha",
    color="name",
    hover_name=2024,
    size='size',
    projection="natural earth",
    # projection="orthographic",
    # projection="equirectangular",
    scope="europe",
    height=750,
    title=title,
    opacity=0.5,
    size_max=50,
)
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/ddr2024_map.html)'))

fig.show()

Map of Europe 2024¶

Observations¶

The recovery from the COVID-19 pandemic varies significantly across countries. What factors might explain these differences?

Hypothesis¶

Based on reports such as:

  • U.S. COVID Deaths Are Rising Again. Experts Call It A 'Pandemic Of The Unvaccinated'
  • CDC Warns of 'Pandemic of the Unvaccinated'
  • Covid: French uproar as Macron vows to 'piss off' unvaccinated
  • Don Lemon Unloads on Unvaxxed: We Have to ‘Do Things For The Greater Good Of Society, Not For Idiots’
  • People Who Skip Vaccinations 'Incredibly Selfish' Experts Say
  • plague rats
  • selfish
  • idiots
  • anti-science
  • ignorant
  • irresponsible.

Could countries with lower vaccination rates also be struggling more to recover from the pandemic?
Let’s test this hypothesis.

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Vaccine Data¶

Source¶

  • Vaccine Tracker
  • Data Download: Download the dataset in CSV format.

Description¶

This dataset provides detailed information on COVID-19 vaccinations within the EU/EEA, as collected through The European Surveillance System (TESSy). It includes indicators such as:

  • Number of vaccine doses distributed by manufacturers.
  • Number of first, second, additional, and unspecified doses administered.
  • Data categorized by target groups at the national level.

Key Notes:

  • Member States report data every four weeks.
  • Retrospective corrections are applied, and updated datasets are released regularly.
  • Data usage is subject to ECDC’s copyright policy.

Variables¶

  • vd: Base vaccine dataset.
  • vdr2023: Vaccination data ranked by the cumulative sum for 2023.
  • vdravg: Vaccination data ranked by the average cumulative sum for 2020, 2021, 2022, and 2023.

Import and Cleaning¶

This step involves loading the death data and preparing it for analysis by addressing issues such as missing values, inconsistent formatting, and unnecessary columns.

In [20]:
# we have to import it like this, because i ran out of memory the other way.WindowsError
# sorry ? 

file = os.path.join(DataDIR,"data.csv")
vd = None
with open(file,'r',encoding='utf-8') as f:
    cols = f.readline().strip().split(',')
    vd = pd.read_csv(f, names=cols, skiprows=1, encoding='utf-8')

if len(vd) == 813366:
    print('✅ - number of rows match')
else:
    print('number of rows do not match, did you import a new spreadsheet?')

# display(vd.head(5))
# display(vd.tail(5))
✅ - number of rows match
In [21]:
# i only care about the total vaccines (not broken into Age group)
vd = vd[vd.TargetGroup == 'ALL']
vd =vd.drop(columns=['TargetGroup'])

# calculate the sum of all the Doses
vd = pd.pivot_table(
    data = vd,
    values = ['FirstDose','SecondDose','DoseAdditional1','DoseAdditional2','DoseAdditional3','DoseAdditional4','DoseAdditional5','UnknownDose'],
    index = ['ReportingCountry','YearWeekISO','Population'],
    aggfunc="sum"
    )
vd = vd.reset_index()

# convert to a number 
vd['year'] = pd.to_numeric(vd['YearWeekISO'].str[0:4])
vd['week'] = pd.to_numeric(vd['YearWeekISO'].str[6:8])
vd['year.week'] = vd['year'] + (vd['week']/100.0)
vd['year.p'] = vd['year'] + (vd['week']/53.001)

vd = vd.rename(columns={'ReportingCountry':'abbr'})
vd['name'] = vd.abbr.apply(abbr_to_name)

# gets get the total doses given 
doseCol = ['FirstDose','SecondDose','DoseAdditional1','DoseAdditional2','DoseAdditional3','DoseAdditional4','DoseAdditional5','UnknownDose']
vd['total_dose'] = vd[doseCol].sum(axis=1)

# # lets get the doses as a percent of the population
vd['total_dose_ratio'] = vd['total_dose']/vd['Population']
vd['1_does_ratio'] = vd['FirstDose']/vd['Population']
vd['2_does_ratio'] = vd['SecondDose']/vd['Population']
vd = vd.drop(columns=doseCol)

# Calculate cumulative sum for each column, grouped by 'abbr'
vd['td_cumsum'] = vd.groupby('abbr')['total_dose_ratio'].cumsum()
vd['1d_cumsum'] = vd.groupby('abbr')['1_does_ratio'].cumsum()
vd['2d_cumsum'] = vd.groupby('abbr')['2_does_ratio'].cumsum()

# lets drop the columns we don't need anymore 
vd = vd.drop(columns=['YearWeekISO'])

# filling unknown values with 0.0
vd = vd.fillna(0.0)

display(vd.head(10))
abbr Population year week year.week year.p name total_dose total_dose_ratio 1_does_ratio 2_does_ratio td_cumsum 1d_cumsum 2d_cumsum
0 AT 8901064 2020 53 2020.53 2020.999981 Austria 5354 0.000602 0.000601 0.000000e+00 0.000602 0.000601 0.000000e+00
1 AT 8932664 2021 1 2021.01 2021.018868 Austria 26404 0.002956 0.002955 3.358461e-07 0.003557 0.003555 3.358461e-07
2 AT 8932664 2021 2 2021.02 2021.037735 Austria 85796 0.009605 0.009556 4.578701e-05 0.013162 0.013111 4.612286e-05
3 AT 8932664 2021 3 2021.03 2021.056603 Austria 98483 0.011025 0.010488 5.217928e-04 0.024187 0.023599 5.679157e-04
4 AT 8932664 2021 4 2021.04 2021.075470 Austria 49484 0.005540 0.003550 1.973655e-03 0.029727 0.027148 2.541571e-03
5 AT 8932664 2021 5 2021.05 2021.094338 Austria 98629 0.011041 0.002093 8.936864e-03 0.040768 0.029241 1.147843e-02
6 AT 8932664 2021 6 2021.06 2021.113205 Austria 117962 0.013206 0.003235 9.937685e-03 0.053974 0.032477 2.141612e-02
7 AT 8932664 2021 7 2021.07 2021.132073 Austria 103892 0.011631 0.007134 4.460931e-03 0.065605 0.039610 2.587705e-02
8 AT 8932664 2021 8 2021.08 2021.150941 Austria 128773 0.014416 0.011997 2.401859e-03 0.080020 0.051607 2.827891e-02
9 AT 8932664 2021 9 2021.09 2021.169808 Austria 170409 0.019077 0.017352 1.702404e-03 0.099098 0.068960 2.998131e-02

Viewing the Vaccine Data¶

This section focuses on exploring the vaccine data to ensure it is correctly loaded and processed. We will inspect the data's structure, check for anomalies, and visualize key trends.

In [22]:
title = 'Line Chart - Percent Vaccinations in Europe 2020-2023 (per Year)'
display(MD(f'### {title}'))
report = r"docs\vdy_line.html"

temp = pd.pivot_table(
    data = vd,
    values = 'total_dose_ratio',
    index = ['abbr','name','year'],
    aggfunc="sum"
)
temp = temp.reset_index()

fig = px.line(
    temp,
    x='year',
    y='total_dose_ratio',
    color='name',
    height=750 ,
    title=title
    )
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/vdy_line.html)'))

fig.show()

Line Chart - Percent Vaccinations in Europe 2020-2023 (per Year)¶

In [23]:
title = 'Line Chart - percent vaccinations in Europe 2020-2023 (per week)'
display(MD(f'### {title}'))
report = r"docs\vd_line.html"

temp = pd.pivot_table(
    data = vd,
    values = 'total_dose_ratio',
    index = ['abbr','name','year.p'],
    aggfunc="sum"
)
temp = temp.reset_index()

fig = px.line(
    temp,
    x='year.p',
    y='total_dose_ratio',
    color='name',
    height=750 ,
    title=title
    )
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/vd_line.html)'))

fig.show()

Line Chart - percent vaccinations in Europe 2020-2023 (per week)¶

In [24]:
title = 'Line Chart - Cumulative Sum of Vaccines in Europe 2020-2023'
display(MD(f'### {title}'))
report = r"docs\vdcumsum_line.html"


temp = pd.pivot_table(
    data = vd,
    values = 'td_cumsum',
    index = ['abbr','name','year.p'],
    aggfunc="sum"
)
temp = temp.reset_index()

fig = px.line(
    temp,
    x='year.p',
    y='td_cumsum',
    color='name',
    height=750 ,
    title=title
    )
fig.update_layout(template="plotly_dark")

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/vdcumsum_line.html)'))

fig.show()

Line Chart - Cumulative Sum of Vaccines in Europe 2020-2023¶

In [25]:
display(vd.head(10))
abbr Population year week year.week year.p name total_dose total_dose_ratio 1_does_ratio 2_does_ratio td_cumsum 1d_cumsum 2d_cumsum
0 AT 8901064 2020 53 2020.53 2020.999981 Austria 5354 0.000602 0.000601 0.000000e+00 0.000602 0.000601 0.000000e+00
1 AT 8932664 2021 1 2021.01 2021.018868 Austria 26404 0.002956 0.002955 3.358461e-07 0.003557 0.003555 3.358461e-07
2 AT 8932664 2021 2 2021.02 2021.037735 Austria 85796 0.009605 0.009556 4.578701e-05 0.013162 0.013111 4.612286e-05
3 AT 8932664 2021 3 2021.03 2021.056603 Austria 98483 0.011025 0.010488 5.217928e-04 0.024187 0.023599 5.679157e-04
4 AT 8932664 2021 4 2021.04 2021.075470 Austria 49484 0.005540 0.003550 1.973655e-03 0.029727 0.027148 2.541571e-03
5 AT 8932664 2021 5 2021.05 2021.094338 Austria 98629 0.011041 0.002093 8.936864e-03 0.040768 0.029241 1.147843e-02
6 AT 8932664 2021 6 2021.06 2021.113205 Austria 117962 0.013206 0.003235 9.937685e-03 0.053974 0.032477 2.141612e-02
7 AT 8932664 2021 7 2021.07 2021.132073 Austria 103892 0.011631 0.007134 4.460931e-03 0.065605 0.039610 2.587705e-02
8 AT 8932664 2021 8 2021.08 2021.150941 Austria 128773 0.014416 0.011997 2.401859e-03 0.080020 0.051607 2.827891e-02
9 AT 8932664 2021 9 2021.09 2021.169808 Austria 170409 0.019077 0.017352 1.702404e-03 0.099098 0.068960 2.998131e-02
In [26]:
display(MD('### HeatMap (vaccination (cumulative sum) by year)'))
temp = pd.pivot_table(
    data = vd.copy(),
    values = 'td_cumsum',
    index = ['abbr','name'],
    columns=['year'],
    aggfunc='sum',
)
temp.columns.name = 'index' 

# fill unknwon values with 0.0
temp = temp.fillna(0.0)

temp = temp.sort_values(by=2023,ascending=False)
temp = temp.reset_index()

vdr2023 = temp.copy()

display(temp.style.background_gradient(cmap=heatmapCM,axis=1))

HeatMap (vaccination (cumulative sum) by year)¶

index abbr name 2020 2021 2022 2023
0 FI Finland 0.003119 123.689548 324.096693 272.896203
1 PT Portugal 0.008074 94.765752 242.524514 206.590389
2 IT Italy 0.004416 87.617659 233.812064 185.254382
3 SE Sweden 0.002223 80.134686 207.824977 169.837101
4 FR France 0.000154 85.965138 222.847236 123.812258
5 LT Lithuania 0.008713 73.887973 159.737318 121.514759
6 PL Poland 0.002875 65.427576 140.960642 111.134565
7 DK Denmark 0.007972 44.968313 111.526055 94.077417
8 IE Ireland 0.000886 45.028201 109.794808 88.523542
9 NL Netherlands 0.000001 38.864806 101.500325 85.977226
10 ES Spain 0.002037 44.471692 103.575461 85.551832
11 BE Belgium 0.000085 45.390091 111.537012 84.741858
12 MT Malta 0.003113 55.425318 117.396957 81.903319
13 EL Greece 0.000409 37.723542 98.374150 77.927167
14 DE Germany 0.003932 43.312437 108.907243 77.432527
15 NO Norway 0.000460 42.590518 106.774369 77.299424
16 LU Luxembourg 0.001350 37.930549 96.015093 75.633132
17 CY Cyprus 0.003805 41.832246 99.470441 72.091795
18 LI Liechtenstein 0.000000 38.331481 90.809788 71.186504
19 CZ Czechia 0.001455 36.163238 83.640865 65.776328
20 EE Estonia 0.002088 35.576595 78.305111 61.723992
21 HU Hungary 0.001327 43.386551 82.610516 61.222052
22 AT Austria 0.000602 41.786591 103.093153 55.847500
23 SI Slovenia 0.006222 31.459218 69.615364 52.379093
24 HR Croatia 0.003747 29.649887 67.318861 52.133253
25 LV Latvia 0.001187 28.184231 74.872405 47.705397
26 SK Slovakia 0.000888 29.569229 65.278902 47.148960
27 IS Iceland 0.013575 47.087520 103.639489 45.329537
28 RO Romania 0.000000 20.721981 41.032540 31.630294
29 BG Bulgaria 0.000682 12.669190 32.903872 25.084732
In [27]:
vdravg = vdr2023.copy()
vdravg['avg2020_2023'] = ( vdravg[2020] + vdravg[2021] + vdravg[2022] + vdravg[2023] )/4.0
vdravg = vdravg.sort_values(by='avg2020_2023',ascending=False)
vdravg = vdravg.reset_index(drop=True)

vdravg = vdravg.drop(columns=[2020,2021,2022,2023])

display(vdravg.style.background_gradient(cmap=heatmapCM,axis=1))
index abbr name avg2020_2023
0 FI Finland 180.171391
1 PT Portugal 135.972182
2 IT Italy 126.672130
3 SE Sweden 114.449747
4 FR France 108.156197
5 LT Lithuania 88.787191
6 PL Poland 79.381415
7 MT Malta 63.682177
8 DK Denmark 62.644939
9 IE Ireland 60.836859
10 BE Belgium 60.417262
11 ES Spain 58.400255
12 DE Germany 57.414035
13 NO Norway 56.666193
14 NL Netherlands 56.585590
15 EL Greece 53.506317
16 CY Cyprus 53.349572
17 LU Luxembourg 52.395031
18 AT Austria 50.181961
19 LI Liechtenstein 50.081943
20 IS Iceland 49.017530
21 HU Hungary 46.805112
22 CZ Czechia 46.395471
23 EE Estonia 43.901946
24 SI Slovenia 38.364974
25 LV Latvia 37.690805
26 HR Croatia 37.276437
27 SK Slovakia 35.499495
28 RO Romania 23.346204
29 BG Bulgaria 17.664619
In [28]:
display(MD('### HeatMap - vaccination (cumulative sum) by week'))
temp = pd.pivot_table(
    data = vd.copy(),
    values = 'td_cumsum',
    index = ['abbr','name'],
    columns=['year.p'],
    aggfunc='sum',
)
temp.columns.name = 'index' 

# fill unknwon values with 0.0
temp = temp.fillna(0.0)

# temp = temp.sort_values(by=2023,ascending=False)
temp = temp.reset_index()
temp = temp.set_index('name').reindex(vdr2023['name']).reset_index()
# temp = temp.reset_index()

display(temp.style.background_gradient(cmap=heatmapCM))

HeatMap - vaccination (cumulative sum) by week¶

index name abbr 2020.943378 2020.962246 2020.981114 2020.999981 2021.018868 2021.037735 2021.056603 2021.075470 2021.094338 2021.113205 2021.132073 2021.150941 2021.169808 2021.188676 2021.207543 2021.226411 2021.245278 2021.264146 2021.283014 2021.301881 2021.320749 2021.339616 2021.358484 2021.377351 2021.396219 2021.415087 2021.433954 2021.452822 2021.471689 2021.490557 2021.509424 2021.528292 2021.547159 2021.566027 2021.584895 2021.603762 2021.622630 2021.641497 2021.660365 2021.679232 2021.698100 2021.716968 2021.735835 2021.754703 2021.773570 2021.792438 2021.811305 2021.830173 2021.849041 2021.867908 2021.886776 2021.905643 2021.924511 2021.943378 2021.962246 2021.981114 2022.018868 2022.037735 2022.056603 2022.075470 2022.094338 2022.113205 2022.132073 2022.150941 2022.169808 2022.188676 2022.207543 2022.226411 2022.245278 2022.264146 2022.283014 2022.301881 2022.320749 2022.339616 2022.358484 2022.377351 2022.396219 2022.415087 2022.433954 2022.452822 2022.471689 2022.490557 2022.509424 2022.528292 2022.547159 2022.566027 2022.584895 2022.603762 2022.622630 2022.641497 2022.660365 2022.679232 2022.698100 2022.716968 2022.735835 2022.754703 2022.773570 2022.792438 2022.811305 2022.830173 2022.849041 2022.867908 2022.886776 2022.905643 2022.924511 2022.943378 2022.962246 2022.981114 2023.018868 2023.037735 2023.056603 2023.075470 2023.094338 2023.113205 2023.132073 2023.150941 2023.169808 2023.188676 2023.207543 2023.226411 2023.245278 2023.264146 2023.283014 2023.301881 2023.320749 2023.339616 2023.358484 2023.377351 2023.396219 2023.415087 2023.433954 2023.452822 2023.471689 2023.490557 2023.509424 2023.528292 2023.547159 2023.566027 2023.584895 2023.603762 2023.622630 2023.641497 2023.660365 2023.679232 2023.698100 2023.716968 2023.735835
0 Finland FI 0.000000 0.000000 0.000015 0.003104 0.011744 0.033866 0.065379 0.095975 0.126334 0.157116 0.203140 0.259158 0.321089 0.388604 0.457742 0.517702 0.590158 0.684456 0.813271 0.933617 1.049552 1.181673 1.309672 1.459119 1.606969 1.768479 1.953522 2.136908 2.275023 2.443747 2.604929 2.744314 2.887039 3.030357 3.168583 3.308878 3.437903 3.551335 3.665066 3.765184 3.836385 3.911222 3.976257 4.029422 4.078914 4.124745 4.170331 4.206266 4.245312 4.292988 4.353673 4.435292 4.537699 4.696909 4.816136 4.970392 5.175308 5.408771 5.594374 5.714321 5.782172 5.820634 5.845803 5.864308 5.877311 5.888557 5.898516 5.910197 5.943019 5.982083 6.006970 6.026272 6.044329 6.057842 6.071315 6.085244 6.094649 6.104746 6.122974 6.140848 6.151219 6.160747 6.169570 6.180872 6.199769 6.229808 6.276408 6.325725 6.382663 6.422435 6.458208 6.483891 6.500079 6.511659 6.520297 6.531121 6.544119 6.557573 6.588904 6.634214 6.698040 6.762839 6.818091 6.859845 6.886466 6.914195 6.929768 6.937607 6.945438 6.956039 6.965836 6.973383 6.978502 6.983313 6.988045 6.991528 6.994253 6.996127 6.997584 6.998766 6.999748 7.000341 7.000896 7.001746 7.002628 7.003343 7.003949 7.004313 7.004696 7.005006 7.005205 7.005381 7.005475 7.005592 7.005678 7.005751 7.005811 7.005864 7.005906 7.005958 7.006042 7.006149 7.006250 7.006305 7.006399 7.006455 7.006500
1 Portugal PT 0.000000 0.000000 0.001010 0.007064 0.016606 0.026703 0.057092 0.074330 0.086598 0.114230 0.144606 0.183722 0.218137 0.247945 0.286484 0.342194 0.386872 0.448842 0.543968 0.613970 0.700818 0.818259 0.936063 1.040324 1.151709 1.264678 1.385727 1.530213 1.672766 1.834776 2.042087 2.192968 2.324643 2.443598 2.568657 2.686122 2.786997 2.859221 2.929348 2.986065 3.032715 3.056042 3.070872 3.081890 3.097938 3.128983 3.157876 3.183917 3.223675 3.278981 3.369546 3.466507 3.565774 3.637483 3.691887 3.774332 3.877036 3.990801 4.107426 4.214135 4.306193 4.379567 4.415122 4.438499 4.446882 4.454970 4.462013 4.468498 4.474602 4.479762 4.482797 4.488743 4.493673 4.498876 4.504163 4.519167 4.543240 4.574393 4.600888 4.621812 4.638114 4.650021 4.657780 4.663621 4.668784 4.673442 4.676445 4.679105 4.681250 4.683539 4.685449 4.698565 4.730852 4.771381 4.815759 4.859341 4.908518 4.958218 5.002700 5.040042 5.078745 5.111234 5.150024 5.192068 5.228039 5.253169 5.259459 5.265594 5.270019 5.274290 5.278392 5.282660 5.286730 5.289891 5.292320 5.293661 5.295210 5.296330 5.297325 5.298165 5.298787 5.299046 5.299419 5.299726 5.299948 5.300163 5.300371 5.300545 5.300711 5.300850 5.300918 5.301017 5.301093 5.301148 5.301197 5.301256 5.301301 5.301348 5.301375 5.301404 5.301440 5.301500 5.301547 5.301571 5.301609 5.301640 5.314466
2 Italy IT 0.000000 0.000000 0.000241 0.004175 0.022542 0.040851 0.049075 0.068021 0.088523 0.103283 0.120381 0.147580 0.186828 0.230471 0.268276 0.322405 0.379747 0.446276 0.520844 0.604366 0.705115 0.816517 0.931652 1.048284 1.167970 1.292023 1.422258 1.547204 1.674379 1.794842 1.918186 2.043119 2.163169 2.269356 2.354788 2.410501 2.452003 2.502409 2.554234 2.599259 2.646410 2.699243 2.739647 2.776756 2.822749 2.859906 2.894053 2.926658 2.966842 3.011360 3.076782 3.175832 3.284059 3.402886 3.485294 3.582451 3.704143 3.841327 3.955647 4.054707 4.122314 4.242340 4.330755 4.401529 4.417319 4.430493 4.441431 4.450721 4.456607 4.461977 4.467167 4.474445 4.482193 4.490408 4.498626 4.505870 4.512441 4.515695 4.519771 4.523282 4.526877 4.530466 4.534882 4.544630 4.559908 4.573615 4.583421 4.589096 4.592240 4.595914 4.599432 4.602192 4.605063 4.608395 4.612916 4.620280 4.631045 4.643090 4.655161 4.663697 4.674295 4.684131 4.693446 4.703115 4.710551 4.719715 4.724945 4.728339 4.732005 4.736986 4.740741 4.743540 4.745335 4.746782 4.747854 4.748771 4.749425 4.749929 4.750419 4.750811 4.751138 4.751324 4.751482 4.751686 4.751813 4.751925 4.752043 4.752153 4.752263 4.752337 4.752395 4.752446 4.752484 4.752518 4.752527 4.752543 4.752555 4.752569 4.752575 4.752585 4.752589 4.752600 4.752610 4.752622 4.752647 4.752666 4.752687
3 Sweden SE 0.000000 0.000000 0.000271 0.001953 0.006539 0.018729 0.037189 0.051314 0.066496 0.084409 0.111637 0.139339 0.173511 0.213378 0.244412 0.280065 0.328979 0.393394 0.482912 0.566483 0.642746 0.730026 0.811154 0.897883 0.990485 1.102500 1.233135 1.381415 1.503829 1.644872 1.759842 1.858174 1.943743 2.020179 2.094864 2.176449 2.270868 2.358907 2.427683 2.477676 2.516873 2.545696 2.569948 2.591493 2.616933 2.639458 2.665003 2.686730 2.734429 2.798067 2.865527 2.935746 3.013380 3.106727 3.148036 3.175425 3.217932 3.301969 3.400827 3.487173 3.559224 3.613439 3.649611 3.678884 3.703924 3.727531 3.758048 3.778836 3.795339 3.833382 3.868761 3.909235 3.950807 3.981881 4.006013 4.025288 4.037937 4.049116 4.057154 4.064423 4.068963 4.073677 4.078075 4.083193 4.086903 4.090345 4.093515 4.096376 4.099306 4.103054 4.114846 4.134650 4.156494 4.181280 4.204483 4.223709 4.240022 4.254019 4.265396 4.272613 4.280315 4.287476 4.293631 4.299687 4.308095 4.319429 4.327291 4.331399 4.336129 4.342136 4.345926 4.348041 4.349398 4.350457 4.351463 4.352172 4.352830 4.353375 4.353916 4.354408 4.354836 4.355106 4.355409 4.355786 4.356177 4.356441 4.356700 4.356867 4.357103 4.357305 4.357405 4.357537 4.357598 4.357677 4.357728 4.357767 4.357800 4.357832 4.357868 4.357922 4.358015 4.358117 4.358208 4.358308 4.358379 4.358452 4.358506
4 France FR 0.000000 0.000000 0.000018 0.000136 0.003277 0.013658 0.033851 0.051294 0.068995 0.092574 0.117109 0.142342 0.181395 0.228378 0.265851 0.320855 0.380055 0.443712 0.519996 0.595825 0.678595 0.775228 0.881068 0.989907 1.091502 1.211257 1.330599 1.447402 1.564972 1.683571 1.796738 1.918837 2.051950 2.171062 2.267308 2.352970 2.437023 2.516649 2.585379 2.634894 2.676669 2.710644 2.739865 2.768180 2.795839 2.823542 2.851099 2.877836 2.911840 2.959127 3.022162 3.129972 3.270521 3.433933 3.531346 3.616479 3.760619 3.880025 3.956730 4.013371 4.059262 4.102211 4.131751 4.147586 4.157453 4.162802 4.168921 4.176071 4.183645 4.192272 4.200594 4.207542 4.215703 4.223474 4.231338 4.238910 4.244159 4.251377 4.258336 4.266393 4.276496 4.293304 4.315107 4.330994 4.346907 4.359192 4.367278 4.372843 4.376736 4.381158 4.385622 4.390181 4.394323 4.398558 4.402543 4.406820 4.414074 4.423342 4.432042 4.438192 4.445651 4.454610 4.462889 4.474286 4.492991 4.516064 4.529045 4.535443 4.546935 4.557615 4.565650 4.571945 4.576628 4.580073 4.582391 4.584244 4.585813 4.586954 4.587913 4.588796 4.589654 4.590349 4.590909 4.591458 4.591959 4.592384 4.592768 4.593131 4.593584 4.593977 4.594505 4.595068 4.595544 4.595885 4.596125 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
5 Lithuania LT 0.000000 0.000000 0.001734 0.006979 0.016863 0.037326 0.048792 0.067178 0.089086 0.109364 0.135238 0.170274 0.212540 0.253587 0.287439 0.341519 0.406473 0.484348 0.556312 0.630231 0.716975 0.836473 0.940204 1.039380 1.136569 1.268173 1.362093 1.453967 1.536316 1.611938 1.656405 1.694121 1.742963 1.806129 1.872412 1.937636 2.007096 2.059375 2.098639 2.135416 2.170424 2.199252 2.226455 2.252119 2.275724 2.303104 2.333820 2.360822 2.404532 2.459956 2.527101 2.595522 2.666668 2.733830 2.779522 2.840266 2.915436 2.969128 3.002326 3.026804 3.038226 3.044540 3.048610 3.052220 3.054825 3.056844 3.059407 3.061576 3.063869 3.065969 3.067683 3.069335 3.070829 3.072050 3.073003 3.073938 3.074747 3.075468 3.076070 3.076522 3.076898 3.077261 3.077679 3.078440 3.079081 3.079688 3.080544 3.081271 3.081923 3.082509 3.083085 3.083764 3.084341 3.085012 3.086042 3.087871 3.090404 3.093308 3.096442 3.097989 3.101009 3.103939 3.106335 3.108384 3.109957 3.111030 3.111621 3.112067 3.112715 3.113405 3.113891 3.114275 3.114547 3.114792 3.114953 3.115147 3.115326 3.115444 3.115566 3.115678 3.115778 3.115837 3.115903 3.115976 3.116034 3.116070 3.116112 3.116254 3.116269 3.116283 3.116302 3.116318 3.116327 3.116335 3.116339 3.116342 3.116350 3.116359 3.116366 3.116374 3.116386 3.116398 3.116410 3.116428 3.116441 3.116477 3.116551
6 Poland PL 0.000000 0.000000 0.000117 0.002758 0.011278 0.025716 0.038599 0.063627 0.089863 0.115091 0.146682 0.179417 0.213136 0.241813 0.267924 0.313988 0.355723 0.410282 0.473729 0.549144 0.637357 0.733977 0.846519 0.952631 1.054317 1.169427 1.289397 1.391478 1.484852 1.559061 1.629958 1.689261 1.731825 1.763911 1.788407 1.807858 1.825119 1.841137 1.854205 1.865023 1.874670 1.885678 1.904835 1.923693 1.939776 1.956405 1.973954 1.994119 2.015503 2.049831 2.099770 2.167176 2.236429 2.299797 2.328189 2.366018 2.420267 2.480088 2.529321 2.567352 2.592176 2.609971 2.622985 2.633420 2.640490 2.646122 2.651256 2.655527 2.658882 2.661606 2.663749 2.666748 2.670304 2.672495 2.674992 2.677112 2.678831 2.680117 2.681109 2.681757 2.682509 2.683198 2.684131 2.685489 2.688136 2.705141 2.727513 2.744456 2.754385 2.763047 2.769160 2.773854 2.778192 2.788770 2.799683 2.808824 2.816269 2.821825 2.826514 2.829791 2.832629 2.835426 2.837502 2.839176 2.840579 2.841847 2.842499 2.843417 2.844460 2.845648 2.846373 2.846962 2.847408 2.847760 2.848030 2.848293 2.848538 2.848793 2.849065 2.849282 2.849460 2.849583 2.849706 2.849915 2.850124 2.850197 2.850336 2.850420 2.850495 2.850549 2.850584 2.850626 2.850662 2.850703 2.850721 2.850738 2.850752 2.850766 2.850779 2.850794 2.850807 2.850825 2.850843 2.850860 2.850881 2.850899 2.850929
7 Denmark DK 0.000000 0.000002 0.000870 0.007100 0.015760 0.023424 0.028543 0.037418 0.046110 0.056163 0.069738 0.088341 0.108581 0.123505 0.139829 0.156241 0.176021 0.199987 0.239915 0.276654 0.315860 0.371865 0.427465 0.486799 0.542474 0.604912 0.680811 0.755867 0.826817 0.899472 0.986288 1.074627 1.151419 1.206163 1.258312 1.315742 1.349824 1.370941 1.383027 1.391089 1.399682 1.406945 1.412226 1.419059 1.427167 1.442218 1.457279 1.471755 1.490877 1.515665 1.551743 1.588155 1.641372 1.777623 1.860078 1.920467 1.972928 2.009971 2.035613 2.048675 2.056597 2.061356 2.063912 2.066136 2.068031 2.069612 2.071011 2.072132 2.073164 2.074059 2.074623 2.075344 2.076172 2.076994 2.077720 2.078476 2.079124 2.079729 2.080317 2.081074 2.081810 2.082541 2.083209 2.083854 2.084354 2.084946 2.085470 2.086049 2.086525 2.086989 2.087421 2.087749 2.089961 2.096628 2.110022 2.198407 2.264150 2.309194 2.345673 2.366868 2.383132 2.392183 2.397710 2.401712 2.404391 2.406424 2.407648 2.408267 2.409479 2.410408 2.410938 2.411346 2.411654 2.411840 2.411994 2.412115 2.412203 2.412245 2.412286 2.412317 2.412350 2.412368 2.412392 2.412416 2.412439 2.412454 2.412470 2.412480 2.412490 2.412499 2.412508 2.412515 2.412519 2.412522 2.412525 2.412527 2.412530 2.412531 2.412535 2.412537 2.412539 2.412546 2.412551 2.412555 2.412558 2.412561 2.413674
8 Ireland IE 0.000000 0.000000 0.000000 0.000886 0.010658 0.020524 0.030634 0.041540 0.052348 0.059107 0.076370 0.094276 0.111901 0.130136 0.143922 0.170657 0.198938 0.225412 0.256480 0.296190 0.339471 0.390494 0.456183 0.522773 0.584830 0.640393 0.699713 0.773064 0.848595 0.922511 1.001081 1.076638 1.143477 1.201302 1.246209 1.284200 1.317370 1.342995 1.358755 1.367252 1.374248 1.379820 1.386033 1.400800 1.416267 1.429167 1.438048 1.454385 1.487136 1.526515 1.570040 1.615490 1.663682 1.740887 1.835047 1.874235 1.911066 1.937461 1.951016 1.958697 1.965096 1.971299 1.976244 1.980745 1.985189 1.989037 1.991720 1.996242 2.000694 2.004638 2.007351 2.011731 2.020134 2.031788 2.047707 2.061654 2.074319 2.082426 2.087844 2.094293 2.100585 2.106311 2.112886 2.118628 2.123039 2.126812 2.129326 2.132166 2.139280 2.147441 2.156184 2.163349 2.168021 2.171312 2.177008 2.194233 2.213086 2.230754 2.245724 2.256595 2.270147 2.282658 2.294598 2.304814 2.314297 2.321526 2.325924 2.329711 2.338622 2.346226 2.351349 2.355379 2.359713 2.363109 2.365405 2.367239 2.368774 2.369955 2.370749 2.371582 2.372338 2.372884 2.373379 2.373876 2.374523 2.376945 2.382221 2.389944 2.401878 2.413027 2.418465 2.422655 2.423751 2.424299 2.424513 2.424661 2.424763 2.424856 2.424925 2.425009 2.425133 2.425248 2.425338 2.425388 2.425422 0.000000 0.000000
9 Netherlands NL 0.000000 0.000000 0.000000 0.000001 0.001984 0.004387 0.009305 0.017364 0.027415 0.038091 0.050023 0.066466 0.079856 0.092930 0.103452 0.117838 0.140900 0.167245 0.206832 0.244086 0.280954 0.322706 0.373593 0.433079 0.489287 0.551229 0.637726 0.714672 0.795830 0.880153 0.952147 1.014346 1.059394 1.101207 1.144753 1.180644 1.192674 1.202165 1.209352 1.214377 1.220595 1.226231 1.231166 1.235578 1.240277 1.245142 1.250341 1.256205 1.261830 1.267149 1.281355 1.302108 1.334882 1.385541 1.458142 1.549804 1.655594 1.719033 1.744296 1.758057 1.769483 1.776600 1.780456 1.783544 1.788105 1.798348 1.814230 1.832713 1.854633 1.873557 1.887157 1.897276 1.903339 1.907941 1.911498 1.915365 1.918122 1.920693 1.923111 1.927207 1.932925 1.938149 1.942854 1.949671 1.954813 1.959632 1.962858 1.964742 1.966184 1.967133 1.967915 1.968319 1.968657 1.983149 2.008472 2.040549 2.075571 2.109691 2.139134 2.158471 2.170251 2.177266 2.181967 2.185498 2.188422 2.190821 2.192641 2.194210 2.196990 2.199123 2.200543 2.201574 2.202408 2.203072 2.203639 2.204078 2.204396 2.204638 2.204814 2.204932 2.205028 2.205102 2.205160 2.205218 2.205261 2.205301 2.205332 2.205358 2.205388 2.205414 2.205445 2.205466 2.205484 2.205501 2.205514 2.205528 2.205539 2.205549 2.205559 2.205568 2.205579 2.205592 2.205606 2.205620 2.205634 2.205635 2.205640
10 Spain ES 0.000000 0.000000 0.000000 0.002037 0.008865 0.019603 0.026809 0.034741 0.045712 0.055825 0.066879 0.083070 0.102207 0.121829 0.136472 0.162374 0.189651 0.231942 0.274110 0.313905 0.365125 0.421744 0.474305 0.523734 0.572090 0.635338 0.706892 0.776100 0.855069 0.939277 1.017815 1.086745 1.147925 1.198671 1.240606 1.278342 1.310105 1.336356 1.358380 1.371192 1.379997 1.389500 1.397283 1.402650 1.406454 1.412842 1.425608 1.441831 1.465924 1.492665 1.523646 1.569957 1.604596 1.654127 1.689928 1.724876 1.758075 1.803024 1.845636 1.881727 1.905356 1.922381 1.932749 1.939882 1.944552 1.948197 1.951044 1.953723 1.956047 1.958028 1.959155 1.960963 1.962767 1.964383 1.966134 1.968104 1.969868 1.971721 1.973670 1.975643 1.977529 1.979654 1.981668 1.983685 1.985348 1.986676 1.987495 1.988197 1.988779 1.989459 1.990029 1.990603 1.991150 1.991608 1.996041 2.006451 2.018732 2.045174 2.072823 2.092365 2.111580 2.126977 2.138489 2.147839 2.150657 2.157327 2.161894 2.164407 2.167286 2.173721 2.179694 2.183806 2.186526 2.188571 2.190022 2.191141 2.192065 2.192909 2.193667 2.194364 2.194976 2.195192 2.195514 2.195846 2.196142 2.196318 2.196516 2.196668 2.196822 2.196947 2.197057 2.197154 2.197244 2.197315 2.197371 2.197420 2.197460 2.197492 2.197516 2.197545 2.197563 2.197592 2.197623 2.197651 2.197680 2.197708 2.197727
11 Belgium BE 0.000000 0.000000 0.000000 0.000085 0.002456 0.011059 0.021751 0.029767 0.041866 0.054601 0.064769 0.075761 0.090848 0.107755 0.133203 0.160880 0.191059 0.229774 0.272610 0.309644 0.348965 0.412781 0.465451 0.531436 0.587185 0.665713 0.758970 0.848432 0.926986 0.989202 1.064123 1.131089 1.197355 1.256621 1.299465 1.326753 1.340577 1.351024 1.358288 1.363694 1.369958 1.380111 1.393073 1.408449 1.424368 1.436776 1.450401 1.461058 1.474081 1.500924 1.543870 1.595859 1.650705 1.713474 1.768822 1.796249 1.869981 1.932185 1.968446 1.989486 2.003049 2.014796 2.025462 2.038464 2.042486 2.045796 2.048305 2.050522 2.052319 2.053150 2.053808 2.054640 2.055378 2.055921 2.056501 2.057386 2.059339 2.066290 2.073525 2.079264 2.083067 2.084818 2.086071 2.087289 2.087898 2.088731 2.089570 2.090467 2.091518 2.092921 2.094130 2.096264 2.145138 2.200636 2.254735 2.301377 2.341727 2.371601 2.394762 2.400605 2.405505 2.409371 2.411522 2.413472 2.415143 2.416552 2.417599 2.418025 2.418512 2.419277 2.419833 2.420235 2.420498 2.420686 2.420839 2.420952 2.421051 2.421146 2.421228 2.421295 2.421354 2.421394 2.421423 2.421458 2.421491 2.421513 2.421536 2.421552 2.421573 2.421586 2.421605 2.421616 2.421627 2.421636 2.421643 2.421649 2.421652 2.421656 2.421659 2.421661 2.421665 2.421673 2.421683 0.000000 0.000000 0.000000 0.000000
12 Malta MT 0.000000 0.000000 0.000111 0.003003 0.008817 0.021381 0.036634 0.051429 0.076451 0.097969 0.128825 0.177066 0.227911 0.283239 0.335630 0.390668 0.447283 0.504421 0.574097 0.648945 0.713640 0.789672 0.884252 0.984597 1.071334 1.130772 1.195140 1.245477 1.285946 1.335899 1.363997 1.383239 1.405314 1.421513 1.437420 1.447044 1.454276 1.457909 1.460383 1.466882 1.476093 1.484545 1.506233 1.525799 1.539538 1.555719 1.573776 1.586668 1.624471 1.665397 1.708978 1.764946 1.804090 1.839478 1.874929 1.949189 2.045467 2.102161 2.132424 2.147864 2.154112 2.161013 2.166729 2.171371 2.175365 2.178870 2.182028 2.184963 2.187393 2.189337 2.197050 2.207960 2.216594 2.219287 2.231376 2.243768 2.253072 2.261648 2.268232 2.274943 2.282672 2.285820 2.290840 2.295441 2.300418 2.305637 2.309716 2.311826 2.312400 2.312831 2.313165 2.313432 2.313730 2.313981 2.314300 2.314523 2.314524 2.318498 2.321068 2.326109 2.330410 2.331735 2.332796 2.333775 2.334426 2.335850 2.336712 2.337295 2.338217 2.338937 2.339388 2.339631 2.339783 2.339858 2.339971 2.340052 2.340109 2.340127 2.340127 2.340194 2.340246 2.340259 2.340273 2.340274 2.340276 2.340280 2.340284 2.340292 2.340294 2.340297 2.340301 2.340301 2.340301 2.340311 2.340311 2.340313 2.340317 2.340322 2.340324 2.340332 2.340332 2.340340 2.340345 0.000000 0.000000 0.000000 0.000000
13 Greece EL 0.000000 0.000000 0.000029 0.000380 0.004240 0.007720 0.015342 0.025844 0.037714 0.049852 0.066199 0.084005 0.103258 0.121488 0.135866 0.151942 0.173281 0.205194 0.235708 0.266900 0.294642 0.345076 0.405941 0.464297 0.519573 0.581308 0.645370 0.708611 0.764252 0.821830 0.870785 0.916785 0.956562 0.990902 1.014918 1.030085 1.043448 1.058194 1.071720 1.084097 1.099193 1.112281 1.124393 1.139954 1.155616 1.169688 1.181092 1.199502 1.227074 1.264046 1.310843 1.370510 1.439210 1.507833 1.550594 1.598767 1.643454 1.689287 1.726373 1.750277 1.770923 1.791165 1.804469 1.816276 1.825631 1.832637 1.840451 1.847065 1.856007 1.861569 1.869931 1.876957 1.883887 1.888857 1.892073 1.894651 1.896763 1.898514 1.899987 1.900959 1.902799 1.905437 1.909252 1.912939 1.916095 1.918827 1.921252 1.923331 1.924340 1.925805 1.927214 1.928454 1.930159 1.933113 1.935198 1.939844 1.945514 1.951522 1.956483 1.962109 1.967382 1.972123 1.976389 1.980208 1.983903 1.987200 1.989126 1.989969 1.991150 1.993656 1.995425 1.996321 1.996913 1.997224 1.997522 1.997777 1.997933 1.998098 1.998236 1.998367 1.998460 1.998538 1.998570 1.998598 1.998657 1.998690 1.998733 1.998768 1.998794 1.998823 1.998842 1.998864 1.998881 1.998895 1.998905 1.998915 1.998921 1.998929 1.998937 1.998945 1.998950 1.998959 1.998968 1.998976 1.998988 1.999008 1.999031
14 Germany DE 0.000000 0.000000 0.000293 0.003639 0.008156 0.014670 0.022825 0.030578 0.040747 0.051250 0.062251 0.076204 0.094727 0.116451 0.134015 0.159189 0.182620 0.222675 0.267258 0.309981 0.366926 0.428130 0.488575 0.550343 0.612136 0.676907 0.755643 0.831261 0.901564 0.962324 1.016120 1.065383 1.103747 1.138026 1.167745 1.195688 1.217147 1.234285 1.248774 1.262190 1.276595 1.290321 1.301175 1.311581 1.321904 1.332179 1.344668 1.359099 1.381365 1.414562 1.472857 1.548810 1.636462 1.727252 1.773553 1.803542 1.847237 1.893627 1.929285 1.955288 1.972169 1.985848 1.997077 2.007443 2.016826 2.026342 2.035870 2.045269 2.054308 2.063210 2.068131 2.072522 2.078718 2.084286 2.088465 2.092056 2.094166 2.096794 2.098812 2.100986 2.103935 2.106719 2.109450 2.112722 2.115711 2.118454 2.120611 2.122606 2.124491 2.126416 2.128199 2.129716 2.132377 2.135571 2.140434 2.145644 2.152910 2.160844 2.168434 2.174102 2.181279 2.187456 2.192704 2.196854 2.200437 2.203479 2.205123 2.205833 2.206572 2.208002 2.209124 2.210002 2.210616 2.211121 2.211490 2.211773 2.212060 2.212293 2.212497 2.212693 2.212924 2.213042 2.213076 2.213129 2.213171 2.213193 2.213216 2.213226 2.213240 2.213248 2.213254 2.213262 2.213271 2.213278 2.213289 2.213293 2.213296 2.213300 2.213302 2.213305 2.213313 2.213323 2.213333 0.000000 0.000000 0.000000 0.000000
15 Norway NO 0.000000 0.000000 0.000013 0.000447 0.004388 0.009818 0.015528 0.024699 0.042896 0.058892 0.075618 0.095516 0.116610 0.135781 0.147906 0.170616 0.190206 0.223636 0.261116 0.291953 0.334048 0.373616 0.411145 0.453630 0.501445 0.566461 0.624523 0.683225 0.750974 0.820352 0.870946 0.912732 0.958357 1.007020 1.054246 1.113614 1.183392 1.269125 1.326599 1.360607 1.380081 1.394151 1.406087 1.414907 1.423041 1.429371 1.435816 1.448860 1.469289 1.494801 1.531808 1.572086 1.620802 1.679813 1.713729 1.734643 1.802154 1.872825 1.923600 1.957602 1.976796 1.988335 1.995091 1.998954 2.001344 2.003347 2.004890 2.006276 2.007491 2.008641 2.008926 2.009911 2.011173 2.012391 2.013771 2.014880 2.016245 2.017793 2.018899 2.020363 2.022031 2.023854 2.027876 2.032280 2.036467 2.041060 2.046048 2.052092 2.062903 2.075946 2.089768 2.100717 2.108705 2.119557 2.129238 2.135332 2.140112 2.145788 2.150969 2.154635 2.158785 2.162417 2.167021 2.171785 2.177195 2.181705 2.183908 2.184476 2.186308 2.188349 2.189526 2.190235 2.190729 2.191142 2.191446 2.191666 2.191878 2.192076 2.192293 2.192906 2.195376 2.196197 2.200439 2.207073 2.213982 2.217080 2.219234 2.219739 2.221055 2.221715 2.222197 2.222528 2.222768 2.222941 2.223012 2.223045 2.223075 2.223100 2.223135 2.223172 2.223226 2.223336 2.223444 0.000000 0.000000 0.000000 0.000000
16 Luxembourg LU 0.000000 0.000000 0.000002 0.001348 0.002038 0.004389 0.008480 0.013725 0.019854 0.025311 0.034791 0.042981 0.055202 0.073768 0.097249 0.115469 0.145373 0.183655 0.236360 0.258618 0.290808 0.353755 0.421568 0.475923 0.515773 0.583851 0.661438 0.729593 0.797802 0.874459 0.920526 0.969673 1.015042 1.053603 1.078011 1.089040 1.098046 1.105703 1.113249 1.120314 1.126420 1.132122 1.143542 1.150667 1.159863 1.173394 1.195479 1.215557 1.234781 1.259674 1.297069 1.345112 1.397208 1.458524 1.505457 1.550243 1.609623 1.676401 1.728206 1.752779 1.770253 1.781305 1.787489 1.792697 1.796375 1.799096 1.801090 1.802825 1.804590 1.806019 1.807410 1.808659 1.811589 1.815201 1.818766 1.822639 1.825049 1.827644 1.829787 1.831874 1.833262 1.835360 1.838208 1.847815 1.857474 1.870182 1.878478 1.885497 1.887858 1.890302 1.892434 1.893542 1.895666 1.898500 1.901163 1.904378 1.908774 1.913261 1.917437 1.919617 1.922623 1.925076 1.927488 1.929594 1.931634 1.933232 1.934378 1.934493 1.935514 1.936529 1.937192 1.937606 1.937993 1.938471 1.938633 1.938844 1.938943 1.939089 1.939224 1.939327 1.939420 1.939464 1.939518 1.939578 1.939656 1.939690 1.939715 1.939740 1.939769 1.939809 1.939823 1.939851 1.939859 1.939870 1.939881 1.939913 1.939944 1.939955 1.939970 1.939981 1.939986 1.940000 1.940026 1.940056 1.940063 1.940091 1.940139
17 Cyprus CY 0.000000 0.000000 0.000416 0.003390 0.006856 0.012154 0.020254 0.028380 0.037050 0.049605 0.065375 0.087638 0.110864 0.138324 0.147106 0.165128 0.180609 0.207196 0.235359 0.270212 0.328666 0.399966 0.487634 0.579572 0.659004 0.717636 0.777079 0.842347 0.883431 0.934828 0.990650 1.030712 1.062397 1.090996 1.125136 1.150625 1.171935 1.191080 1.204842 1.219767 1.232090 1.245735 1.259804 1.277204 1.292804 1.304234 1.311936 1.322604 1.338761 1.362974 1.409594 1.464517 1.519349 1.585430 1.627466 1.667331 1.707721 1.748731 1.781134 1.801189 1.820077 1.836170 1.846027 1.853498 1.860583 1.865946 1.871164 1.875744 1.882108 1.889038 1.895494 1.898995 1.904672 1.910463 1.914857 1.918177 1.920927 1.922071 1.923642 1.924745 1.926561 1.929221 1.932524 1.935774 1.937818 1.939862 1.940811 1.941701 1.942220 1.942771 1.943303 1.943757 1.944242 1.945174 1.946399 1.949362 1.952897 1.955124 1.957424 1.960693 1.964467 1.968369 1.972799 1.978454 1.982419 1.985698 1.987968 1.989455 1.991544 1.995323 1.998161 1.999507 2.000334 2.001111 2.001535 2.001912 2.002229 2.002535 2.002783 2.003016 2.003166 2.003316 2.003393 2.003508 2.003594 2.003652 2.003734 2.003801 2.003852 2.003884 2.003922 0.000000 2.003942 2.003952 2.003964 2.003969 2.003978 2.003981 2.003989 2.004006 2.004014 2.004026 2.004044 2.004056 2.004063 0.000000 0.000000
18 Liechtenstein LI 0.000000 0.000000 0.000000 0.000000 0.000102 0.001127 0.009679 0.020817 0.023557 0.032160 0.049904 0.068365 0.083370 0.100755 0.117014 0.146435 0.172859 0.196108 0.233927 0.301344 0.341416 0.376290 0.426911 0.497606 0.554500 0.625963 0.699219 0.771502 0.810575 0.869108 0.934067 0.993778 1.007681 1.008066 1.008117 1.043887 1.070362 1.091973 1.092203 1.098400 1.135117 1.163513 1.167815 1.172295 1.176392 1.198259 1.207784 1.216387 1.222942 1.230982 1.249136 1.280220 1.390091 1.517731 1.560876 1.562796 1.603220 1.657408 1.691294 1.697145 1.709026 1.718668 1.721848 1.723908 1.723934 1.725893 1.725893 1.728030 1.728030 1.728030 1.729658 1.729658 1.730879 1.730879 1.732125 1.732125 1.733321 1.733321 1.734415 1.734491 1.735738 1.735814 1.737264 1.737392 1.744311 1.749374 1.751053 1.751485 1.751511 1.752452 1.752452 1.752452 1.753037 1.753037 1.753597 1.753597 1.765961 1.777816 1.790027 1.793004 1.800585 1.807225 1.812491 1.815442 1.815442 1.821344 1.821344 1.821344 1.821344 1.823659 1.823659 1.824371 1.824371 1.824702 1.824702 1.825084 1.825084 1.825236 1.825236 1.825236 1.825236 1.825465 1.825465 1.825465 1.825465 1.825618 1.825618 1.825618 1.825618 1.825618 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825796 1.825821 1.825821 1.825821 1.825821
19 Czechia CZ 0.000000 0.000000 0.000119 0.001337 0.004749 0.011683 0.019938 0.026779 0.034628 0.044385 0.053585 0.063828 0.081637 0.106194 0.130894 0.152734 0.175637 0.203355 0.239520 0.273376 0.309842 0.353317 0.399798 0.449782 0.503572 0.565320 0.630256 0.694394 0.756466 0.815451 0.854746 0.904066 0.945621 0.976643 1.001430 1.022814 1.041137 1.056216 1.064744 1.070961 1.076245 1.080850 1.084726 1.089420 1.094724 1.106171 1.122105 1.146391 1.169905 1.191780 1.221583 1.265122 1.314209 1.361330 1.386944 1.412237 1.459526 1.501992 1.528651 1.547468 1.559538 1.566787 1.571689 1.575365 1.577719 1.579691 1.581562 1.583349 1.585173 1.586767 1.587862 1.589153 1.590485 1.591638 1.592765 1.593781 1.594791 1.595585 1.596259 1.596821 1.597359 1.597953 1.598359 1.599206 1.602027 1.605567 1.608428 1.611224 1.614389 1.617575 1.620479 1.623466 1.627062 1.631730 1.635686 1.642089 1.649464 1.656793 1.661781 1.667542 1.672225 1.675092 1.678255 1.680416 1.682054 1.683118 1.683498 1.683608 1.684075 1.684673 1.685119 1.685437 1.685695 1.685890 1.686049 1.686196 1.686302 1.686422 1.686501 1.686569 1.686638 1.686672 1.686705 1.686756 1.686792 1.686818 1.686835 1.686852 1.686864 1.686877 1.686890 1.686902 1.686909 1.686916 1.686918 1.686922 1.686926 1.686930 1.686933 1.686936 1.686941 1.686950 1.686962 1.686978 1.687018 1.687409 1.688153
20 Estonia EE 0.000000 0.000000 0.000147 0.001941 0.008403 0.014097 0.020163 0.029753 0.041174 0.052633 0.068286 0.086847 0.112751 0.147235 0.173181 0.196889 0.228272 0.258079 0.288538 0.317893 0.359206 0.411544 0.448171 0.496303 0.544860 0.591098 0.643539 0.697193 0.720366 0.757117 0.788494 0.815703 0.846658 0.870468 0.896256 0.922432 0.942405 0.963327 0.980042 0.996262 1.013653 1.031289 1.042551 1.052655 1.065102 1.085189 1.119005 1.159259 1.191363 1.221862 1.247878 1.272809 1.298877 1.327094 1.346876 1.365496 1.387236 1.410837 1.428960 1.442514 1.451616 1.457764 1.462565 1.466820 1.470889 1.474194 1.476654 1.479074 1.481220 1.483189 1.484883 1.486571 1.488117 1.489476 1.490763 1.491863 1.492933 1.493834 1.494587 1.495387 1.495812 1.496383 1.497068 1.498005 1.499922 1.502574 1.506138 1.510560 1.514770 1.518807 1.523060 1.527004 1.530748 1.535073 1.540025 1.544274 1.548162 1.552086 1.556050 1.560631 1.563893 1.566513 1.568714 1.570658 1.572244 1.573642 1.574812 1.575536 1.576600 1.577965 1.578942 1.579803 1.580348 1.580850 1.581302 1.581518 1.581819 1.582084 1.582270 1.582448 1.582672 1.582800 1.582933 1.583058 1.583196 1.583260 1.583370 1.583432 1.583492 1.583545 1.583592 1.583626 1.583639 1.583666 1.583679 1.583700 1.583716 1.583734 1.583759 1.583778 1.583811 1.583852 1.584014 1.584166 1.584366 1.584535 1.584653
21 Hungary HU 0.000000 0.000000 0.000112 0.001215 0.007375 0.012693 0.016044 0.031135 0.040770 0.049307 0.067927 0.098104 0.136122 0.180069 0.213843 0.268764 0.337177 0.423097 0.477681 0.539645 0.629271 0.694546 0.741073 0.803135 0.873871 0.921813 0.949764 0.975668 1.011888 1.032447 1.046571 1.057445 1.064220 1.070872 1.078769 1.091208 1.101637 1.117012 1.132190 1.146981 1.160823 1.174869 1.187456 1.199975 1.212814 1.226200 1.240609 1.258765 1.285053 1.312792 1.389905 1.424445 1.452946 1.467155 1.473646 1.478961 1.492831 1.507920 1.525930 1.545787 1.556659 1.564874 1.570774 1.575873 1.578975 1.581067 1.582390 1.584652 1.586504 1.587910 1.588735 1.589867 1.590897 1.591642 1.592337 1.592916 1.593438 1.593819 1.594097 1.594391 1.594705 1.594858 1.595204 1.595727 1.596336 1.596911 1.597483 1.598129 1.598582 1.599051 1.599399 1.599684 1.599997 1.600568 1.601103 1.601597 1.602252 1.603306 1.604095 1.604585 1.605444 1.606213 1.606866 1.607674 1.608389 1.609130 1.609441 1.609504 1.609801 1.610147 1.610429 1.610653 1.610778 1.610868 1.610938 1.610998 1.611052 0.000000 1.611081 1.611116 1.611143 1.611155 1.611179 1.611201 1.611222 1.611232 1.611240 1.611250 1.611258 1.611263 1.611268 1.611273 1.611277 1.611280 1.611282 1.611286 1.611289 1.611292 1.611293 1.611296 1.611299 1.611302 1.611305 1.611310 1.611316 1.611331 1.611348
22 Austria AT 0.000000 0.000000 0.000000 0.000602 0.003557 0.013162 0.024187 0.029727 0.040768 0.053974 0.065605 0.080020 0.099098 0.128155 0.155012 0.183041 0.208360 0.248194 0.290418 0.330112 0.370473 0.421435 0.469305 0.530230 0.585269 0.650110 0.720406 0.785471 0.851822 0.918303 0.971772 1.015996 1.054911 1.085604 1.111491 1.128908 1.143241 1.152418 1.160887 1.169549 1.179796 1.190645 1.201675 1.215820 1.229436 1.245497 1.260503 1.288139 1.341102 1.415432 1.499489 1.579305 1.649323 1.718651 1.749739 1.771046 1.797842 1.829828 1.853535 1.872760 1.892394 1.902079 1.907278 1.910885 1.914088 1.916606 1.918772 1.921139 1.923380 1.925546 1.927391 1.929527 1.932188 1.934922 1.937746 1.940469 1.942274 1.944488 1.946540 1.948700 1.952249 1.957494 1.964569 1.972180 1.978561 1.984036 1.988445 1.992778 1.996964 2.001800 2.007256 2.013574 2.019563 2.025528 2.034810 2.046830 2.059962 2.072865 2.080545 2.088348 2.098344 2.107545 2.115672 2.123528 2.128925 2.134705 2.137253 2.138446 2.139823 2.141805 2.143316 2.144421 2.145284 2.145916 2.146492 2.146983 2.147716 2.148128 2.148496 2.148829 2.149154 2.149325 2.149482 2.149691 2.149883 2.149993 2.150107 2.150177 2.150272 2.150337 2.150392 2.150453 2.150494 2.150533 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
23 Slovenia SI 0.000000 0.000000 0.001774 0.004447 0.012755 0.020692 0.026367 0.034699 0.042998 0.052122 0.062740 0.075114 0.089885 0.112929 0.126259 0.150868 0.178182 0.203599 0.230083 0.261008 0.288601 0.333684 0.379313 0.432001 0.477662 0.539593 0.593199 0.625442 0.655306 0.686317 0.711157 0.733127 0.751501 0.769141 0.785263 0.799455 0.814826 0.829407 0.841650 0.859319 0.898550 0.918701 0.933938 0.953347 0.966839 0.976810 0.986654 1.011261 1.055545 1.094862 1.123822 1.147234 1.165835 1.187317 1.220222 1.232015 1.253582 1.281695 1.290827 1.298990 1.308534 1.314438 1.318993 1.321130 1.322569 1.323923 1.325507 1.327183 1.328614 1.330154 1.331309 1.332171 1.332688 1.333445 1.334030 1.334491 1.334850 1.335151 1.335386 1.335630 1.335941 1.336236 1.336471 1.336830 1.337270 1.338348 1.339233 1.340122 1.340985 1.342255 1.343090 1.343727 1.344889 1.348631 1.353562 1.357785 1.361152 1.364525 1.367416 1.368417 1.370390 1.371827 1.373133 1.374119 1.374929 1.375730 1.376434 1.376627 1.377058 1.377520 1.377789 1.377950 1.378061 1.378133 1.378194 1.378257 1.378300 1.378350 1.378383 1.378418 1.378471 1.378495 1.378506 1.378524 1.378530 1.378538 1.378546 1.378554 1.378560 1.378561 1.378565 1.378573 1.378579 1.378581 1.378582 1.378582 1.378583 1.378585 1.378588 0.000000 1.378588 1.378590 1.378591 1.378598 1.378599 1.378604 1.378605
24 Croatia HR 0.000000 0.000000 0.000530 0.003216 0.007975 0.012682 0.018762 0.022992 0.027496 0.034897 0.045320 0.061060 0.075505 0.091598 0.108513 0.124392 0.141528 0.159061 0.187454 0.213674 0.244592 0.303794 0.364825 0.418922 0.466145 0.500485 0.552654 0.603984 0.641868 0.683756 0.718982 0.742014 0.764503 0.781917 0.792812 0.803125 0.813286 0.823860 0.832682 0.840413 0.849161 0.858227 0.867168 0.875712 0.883038 0.891869 0.906006 0.924846 0.963720 0.995274 1.024232 1.054796 1.087259 1.126014 1.147760 1.167277 1.192946 1.224870 1.244754 1.256177 1.264337 1.270423 1.275148 1.278117 1.279909 1.281504 1.283082 1.284397 1.285639 1.286986 1.287717 1.288478 1.289314 1.289973 1.290588 1.291113 1.291584 1.291874 1.292224 1.292477 1.292669 1.293013 1.293345 1.293818 1.294226 1.294576 1.294887 1.295237 1.295562 1.296437 1.297330 1.297716 1.301427 1.306017 1.310236 1.313909 1.317668 1.320674 1.323019 1.324577 1.326750 1.328290 1.329860 1.331117 1.332203 1.333000 1.333606 1.334057 1.334536 1.335345 1.335782 1.336073 1.336243 1.336368 1.336472 1.336569 1.336626 1.336673 1.336722 1.336763 1.336799 1.336834 1.336860 1.336891 1.336916 1.336936 1.336949 1.336961 1.336970 1.336979 1.336984 1.336990 1.336994 1.336998 1.337002 1.337005 1.337006 1.337010 1.337019 1.337024 1.337024 1.337026 1.337031 1.337036 1.337040 1.337235 1.337561
25 Latvia LV 0.000000 0.000000 0.000000 0.001187 0.003684 0.008436 0.010086 0.012589 0.017082 0.019813 0.024472 0.033364 0.043825 0.051850 0.054805 0.067631 0.079612 0.096154 0.114482 0.140661 0.172929 0.217322 0.276256 0.331664 0.392353 0.451521 0.498773 0.539014 0.554457 0.592532 0.619477 0.635943 0.653733 0.670673 0.686845 0.702897 0.719000 0.735205 0.750834 0.765771 0.781794 0.801951 0.823888 0.849228 0.891537 0.935570 0.975959 1.018561 1.060809 1.085515 1.119635 1.154547 1.191264 1.227007 1.250080 1.271143 1.307587 1.340476 1.366639 1.385990 1.398531 1.408528 1.414541 1.419485 1.423115 1.425716 1.428087 1.430088 1.431610 1.432853 1.433805 1.434753 1.435738 1.436471 1.437181 1.437861 1.438469 1.438914 1.439318 1.439762 1.439966 1.440382 1.440824 1.441302 1.441804 1.442467 1.443140 1.443944 1.444505 1.445201 1.445729 1.446320 1.448708 1.452678 1.456638 1.460654 1.464319 1.468842 1.472887 1.476232 1.478421 1.480312 1.482096 1.483820 1.485107 1.486150 1.486672 1.487767 1.488218 1.488889 1.489305 1.489756 1.489996 1.490204 1.490379 1.490568 1.490691 1.490775 1.490862 1.490932 1.491004 1.491054 1.491098 1.491139 1.491172 1.491189 1.491217 1.491240 1.491258 1.491268 1.491281 1.491291 1.491295 1.491306 1.491314 1.491322 1.491332 1.491343 1.491347 1.491354 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
26 Slovakia SK 0.000000 0.000000 0.000056 0.000832 0.005562 0.011697 0.018683 0.027346 0.039968 0.055063 0.068369 0.082463 0.100421 0.119884 0.144171 0.168290 0.187681 0.212573 0.241051 0.268909 0.299829 0.336412 0.379542 0.425080 0.470672 0.514758 0.558812 0.603963 0.647164 0.685774 0.716659 0.740751 0.756470 0.771991 0.786999 0.799783 0.810097 0.818425 0.825004 0.831123 0.836866 0.842890 0.847756 0.851963 0.855802 0.863269 0.874434 0.891560 0.915980 0.942191 0.972756 1.000419 1.033975 1.077310 1.101852 1.128767 1.161673 1.192133 1.215137 1.231394 1.239397 1.244323 1.247295 1.249309 1.250452 1.251436 1.252343 1.253211 1.254017 1.254676 1.255064 1.255456 1.255803 1.256117 1.256378 1.256596 1.256811 1.256969 1.257101 1.257225 1.257374 1.257519 1.257631 1.257817 1.258154 1.258928 1.259700 1.260478 1.261060 1.261538 1.261711 1.262110 1.262312 1.262843 1.264028 1.265254 1.266395 1.267555 1.268690 1.269505 1.270454 1.271110 1.271775 1.272310 1.272724 1.273054 1.273239 1.273318 1.273447 1.273658 1.273825 1.273936 1.274020 1.274104 1.274156 1.274197 1.274235 1.274273 1.274304 1.274327 1.274348 1.274360 1.274377 1.274388 1.274397 1.274403 1.274408 1.274415 1.274418 1.274422 1.274423 1.274426 1.274428 1.274429 0.000000 1.274429 1.274430 1.274431 0.000000 1.274431 1.274431 1.274432 1.274432 1.274434 1.274435 1.274438 1.274514
27 Iceland IS 0.000000 0.000000 0.000000 0.013575 0.000000 0.016994 0.041669 0.042434 0.048299 0.054159 0.075661 0.091909 0.114455 0.128086 0.144242 0.180124 0.203159 0.242807 0.272919 0.310015 0.397667 0.510961 0.555251 0.629035 0.678199 0.743376 0.858075 0.956559 1.029548 1.159524 1.196363 1.226557 1.229829 1.234754 1.253536 1.277661 1.344227 1.353113 1.358908 1.369526 1.380963 1.388363 1.396693 1.404660 1.414315 1.428521 1.434197 1.448050 1.463522 1.545826 1.615236 1.688465 1.760123 1.784286 1.798708 1.805992 1.826470 1.848458 1.883092 1.906704 1.919799 1.923940 1.927013 1.932828 1.933522 1.934285 1.935026 1.935813 1.936544 1.937312 1.937843 1.938157 1.939297 1.942085 1.945854 1.949990 1.951847 1.954133 1.956031 1.958947 1.971704 1.984557 1.990365 1.996055 2.000286 2.004685 2.006689 2.009929 2.012223 2.014716 2.016512 2.017998 2.019385 2.020991 2.048175 2.075843 2.079537 2.083835 2.088459 2.091197 2.095346 2.098578 2.101161 2.103218 2.105988 2.112537 2.116829 2.117701 2.121124 2.125749 2.129805 2.135503 2.141621 2.148784 2.153100 2.156837 2.160965 2.163896 2.166772 2.168962 2.170225 2.170778 2.171947 2.172595 2.173776 2.174004 2.174209 2.174339 2.174546 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
28 Romania RO 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.036090 0.044647 0.058179 0.071987 0.079902 0.095419 0.112782 0.131582 0.152009 0.172495 0.192956 0.220767 0.252139 0.278347 0.313007 0.351753 0.381944 0.407228 0.428545 0.443243 0.453175 0.460921 0.467029 0.472058 0.476513 0.481291 0.485940 0.490377 0.494501 0.498428 0.502255 0.505398 0.508112 0.511501 0.516864 0.524393 0.533739 0.545750 0.570833 0.602989 0.629238 0.657121 0.686176 0.707538 0.721988 0.735723 0.746703 0.752558 0.757850 0.767729 0.775229 0.780943 0.787384 0.792368 0.795724 0.797972 0.799801 0.801127 0.801951 0.802647 0.803311 0.803878 0.804412 0.804885 0.805222 0.805566 0.805906 0.806185 0.806490 0.806801 0.807031 0.807246 0.807420 0.807593 0.807780 0.807950 0.808204 0.808474 0.808704 0.808900 0.809082 0.809212 0.809346 0.809465 0.809579 0.809664 0.809744 0.809831 0.809890 0.809941 0.809993 0.810039 0.810082 0.810123 0.810155 0.810183 0.810203 0.810285 0.000000 0.810406 0.810483 0.810520 0.810634 0.810725 0.810777 0.810823 0.810861 0.810892 0.810921 0.810950 0.810971 0.810993 0.811014 0.811033 0.811048 0.811061 0.811070 0.811082 0.811090 0.811097 0.811102 0.811107 0.811112 0.811118 0.811122 0.811126 0.811132 0.811135 0.811136 0.811138 0.811141 0.811143 0.811144 0.811145 0.811147 0.811149 0.811152 0.811155 0.811160 0.811167
29 Bulgaria BG 0.000000 0.000000 0.000000 0.000682 0.001944 0.002665 0.003776 0.005942 0.008243 0.010896 0.017253 0.030712 0.041727 0.048992 0.053333 0.063112 0.072803 0.082793 0.092304 0.104568 0.119226 0.135628 0.161463 0.182284 0.195669 0.211723 0.227992 0.239990 0.249678 0.258771 0.267571 0.276019 0.283998 0.292814 0.301773 0.310426 0.319496 0.329348 0.338626 0.346154 0.353993 0.360305 0.366174 0.371604 0.377232 0.391468 0.410283 0.425276 0.440123 0.456599 0.472086 0.487046 0.500396 0.513786 0.523375 0.529728 0.551618 0.573336 0.586353 0.594941 0.601805 0.607426 0.611551 0.614861 0.616684 0.618508 0.620185 0.621583 0.622799 0.623984 0.625221 0.626008 0.626873 0.627380 0.628085 0.628609 0.629003 0.629371 0.629663 0.629944 0.630219 0.631045 0.632528 0.634928 0.637535 0.639899 0.641916 0.643792 0.645215 0.646421 0.647287 0.647897 0.648745 0.649563 0.650723 0.651823 0.653018 0.653973 0.654834 0.655524 0.656183 0.656798 0.657258 0.657604 0.657902 0.658143 0.658335 0.658975 0.659092 0.659279 0.659414 0.659507 0.659579 0.659647 0.659706 0.659761 0.659803 0.659875 0.659954 0.660004 0.660051 0.660103 0.660145 0.660193 0.660259 0.660295 0.660315 0.660331 0.660341 0.660352 0.660360 0.660372 0.660381 0.660390 0.660397 0.660403 0.660409 0.660415 0.660421 0.660428 0.660434 0.660442 0.660450 0.660458 0.660475 0.660489 0.000000

let's compare a little bit¶

Overlap Analysis¶

This section compares the top and bottom-ranked countries by deaths and vaccinations in 2023. The analysis checks for overlaps in the following scenarios:

  1. Top-ranked deaths vs. top-ranked vaccinations.
  2. Bottom-ranked deaths vs. bottom-ranked vaccinations.
  3. Top-ranked deaths vs. bottom-ranked vaccinations.
  4. Bottom-ranked deaths vs. top-ranked vaccinations.

The results provide insights into potential relationships between vaccination rates and death counts across countries.

In [29]:
num = 10

display(MD(f'### Overlap -- head{num} deaths and head{num} vaccinated countries '))
overlap = list(set(ddr2023.head(num).abbr.to_list()) & set(vdr2023.head(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- tail{num} deaths and tail{num} vaccinated countries '))
overlap = list(set(ddr2023.tail(num).abbr.to_list()) & set(vdr2023.tail(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- head{num} deaths and tail{num} vaccinated countries '))
overlap = list(set(ddr2023.head(num).abbr.to_list()) & set(vdr2023.tail(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- tail{num} deaths and head{num} vaccinated countries '))
overlap = list(set(ddr2023.tail(num).abbr.to_list()) & set(vdr2023.head(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

Overlap -- head10 deaths and head10 vaccinated countries¶

len(overlap)=4 out of 10

Overlap -- tail10 deaths and tail10 vaccinated countries¶

len(overlap)=6 out of 10

Overlap -- head10 deaths and tail10 vaccinated countries¶

len(overlap)=2 out of 10

Overlap -- tail10 deaths and head10 vaccinated countries¶

len(overlap)=2 out of 10

lets also see the overlap with the 2024 deaths countries with the 2023 vaccines countries

In [30]:
num = 10

display(MD(f'### Overlap -- head{num} deaths and head{num} vaccinated countries '))
overlap = list(set(ddr2024.head(num).abbr.to_list()) & set(vdr2023.head(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- tail{num} deaths and tail{num} vaccinated countries '))
overlap = list(set(ddr2024.tail(num).abbr.to_list()) & set(vdr2023.tail(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- head{num} deaths and tail{num} vaccinated countries '))
overlap = list(set(ddr2024.head(num).abbr.to_list()) & set(vdr2023.tail(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

display(MD(f'### Overlap -- tail{num} deaths and head{num} vaccinated countries '))
overlap = list(set(ddr2024.tail(num).abbr.to_list()) & set(vdr2023.head(num).abbr.to_list()))
display(MD(f'{len(overlap)=} out of {num}'))

Overlap -- head10 deaths and head10 vaccinated countries¶

len(overlap)=4 out of 10

Overlap -- tail10 deaths and tail10 vaccinated countries¶

len(overlap)=6 out of 10

Overlap -- head10 deaths and tail10 vaccinated countries¶

len(overlap)=1 out of 10

Overlap -- tail10 deaths and head10 vaccinated countries¶

len(overlap)=3 out of 10

Correlation Analysis¶

This section analyzes the relationship between two ranked datasets:

  1. Death data ranks (ddr2024).
  2. Vaccination data ranks (vdr2023).

The ranks are compared to identify similarities in their ordering using two statistical methods: Spearman's Rank Correlation and Kendall's Tau.

Steps:¶

  1. Preprocessing:

    • The death data (ddr2024) and vaccination data (vdr2023) are copied and reset to ensure a clean comparison.
    • Irrelevant columns (e.g., yearly data) are removed, keeping only the relevant ranking information.
    • Data from both datasets are filtered to include only matching country abbreviations (abbr).
  2. Rank Alignment:

    • Vaccination ranks from vdr2023 are assigned to the corresponding countries in the death data (ddr2024), ensuring both datasets are aligned for comparison.
  3. Output Interpretation: A summary of the correlation output is provided:

    • 1: Indicates strong similarity in the order of ranks.
    • -1: Indicates a strong inverse relationship in ranks.
    • 0: Suggests no correlation in the order.
  4. Statistical Methods:

    • Spearman's Rank Correlation: Measures the strength and direction of the monotonic relationship between two ranked variables.
      • Range: -1 (perfect inverse) to 1 (perfect similarity).
      • Use Case: Detects whether higher ranks in one dataset correspond to higher ranks in the other (or inversely).
    • Kendall's Tau: Measures the strength of association between two ranked variables based on concordant and discordant pairs.
      • Range: -1 (perfect inverse) to 1 (perfect similarity).
      • Use Case: Evaluates rank agreement between two datasets, factoring in the proportion of pairwise agreements.

Outputs:¶

  • Spearman's Rank Correlation: Reflects how well the relationship between the rankings can be described as monotonic.
  • Kendall's Tau: Provides a stricter measure of rank agreement, focusing on pairwise comparisons.

The results help assess whether vaccination rates and death rates have a correlated ordering across countries.

In [31]:
d = ddr2024.copy().reset_index()
d = d.rename(columns={'index':'value'})
d = d.drop(columns=[2015,2016,2017,2018,2019,2020,2021,2022,2023,2024])
# d['rank'] = d['value'].rank()

v = vdr2023.copy().reset_index()
v = v.rename(columns={'index':'value'})
v = v.drop(columns=[2020,2021,2022,2023])
v['rank'] = v['value'].rank()


d = d[d.abbr.isin(v.abbr)]

for i, row in v.iterrows():
    d.loc[d['abbr']==row['abbr'], 'rank'] = row['rank']

# display(d)
# display(v)


display(MD(
'''### Output Interpretation
* 1  : indicates high similarity in order.
* -1 : indicates inverse order.
* 0  : suggests no similarity in order.
'''
))

# Calculate Spearman's Rank Correlation
spearman_corr, _ = spearmanr(d['rank'], v['rank'])
display(MD(f"Spearman's Rank Correlation: {spearman_corr}"))

# Calculate Kendall's Tau
kendall_corr, _ = kendalltau(d['rank'], v['rank'])
display(MD(f"Kendall's Tau: {kendall_corr}"))

Output Interpretation¶

  • 1 : indicates high similarity in order.
  • -1 : indicates inverse order.
  • 0 : suggests no similarity in order.

Spearman's Rank Correlation: 0.23515016685205786

Kendall's Tau: 0.1632183908045977

list comparison¶

below is a way to visualize the comparison between the deaths and vaccines.

on the left is a list of the countries from lest deaths to most deaths in 2023.
on the right is a list of the countries from most vaccinated to least vaccinated in 2023.
the more horizontal the line the darker the color, and the more vertical the line the lighter the color.

In [32]:
d = ddr2023.copy().reset_index()
d = d.rename(columns={'index':'value'})
d = d.drop(columns=[2015,2016,2017,2018,2019,2020,2021,2022,2023,2024])
# d['rank'] = d['value'].rank()

v = vdr2023.copy().reset_index()
v = v.rename(columns={'index':'value'})
v = v.drop(columns=[2020,2021,2022,2023])
v['rank'] = v['value'].rank()


d = d[d.abbr.isin(v.abbr)]

for i, row in v.iterrows():
    d.loc[d['abbr']==row['abbr'], 'rank'] = row['rank']

d = d.reset_index(drop=True)

# display(d)
# display(v)

# Create a plot
fig, ax = plt.subplots(figsize=(14, 7))

ydistance = 0.95

# Plot points for the first dataframe
for i, row in d.iterrows():
    ax.scatter(0, i * ydistance, label=row['name'], color='blue')
    ax.text(-0.025, i * ydistance, row['name'] + ': ' + str(row['value']), ha='right', va='center', color='blue')

# Plot points for the second dataframe
for i, row in v.iterrows():
    ax.scatter(1, i * ydistance, label=row['name'], color='red')
    ax.text(1.025, i * ydistance, row['name'] + ': ' + str(row['value']), ha='left', va='center', color='red')


ax.text(-0.025 - 1.0, len(v) * ydistance, 'least deaths')
ax.text(-0.025 - 1.0, 0 * ydistance, 'most deaths')

ax.text(1.025 + 1.0, len(v) * ydistance, 'least vaccines')
ax.text(1.025 + 1.0, 0 * ydistance, 'most vaccines')

# Create a colormap
colormap = plt.get_cmap('magma')
norm = Normalize(vmin=-np.pi, vmax=np.pi)

# Draw lines connecting matching abbr values
for name in d['name']:
    if name in v['name'].values:
        idx1 = d[d['name'] == name].index[0] * ydistance
        idx2 = v[v['name'] == name].index[0] * ydistance
        ax.plot([0, 1], [idx1, idx2], color='gray', linestyle='-')
        vertical_diff = idx2 - idx1
        horizontal_diff = 1  # The horizontal distance between the columns
        angle = np.arctan2(vertical_diff, horizontal_diff)  # Calculate the angle

        # normalized_angle = (angle + 2 * np.pi) / (2 * np.pi )  # Normalize angle to [0, 1]
        normalized_angle = pow ( abs(angle / np.pi)/0.5, 3) # custom normalized angle for better colors
        # print(normalized_angle)

        color = colormap(normalized_angle)  # Map normalized angle to a color
        ax.plot([0, 1], [idx1, idx2], color=color, linestyle='-')

# Formatting
ax.set_xlim(-0.5, 1.5)
ax.set_ylim(-1, max(len(d), len(v)))
ax.set_xticks([0, 1])
ax.set_xticklabels(['deaths 2023', 'vaccines 2023'])
ax.set_yticks([])
ax.set_title('Mapping Between deaths and vaccines\n low values at the top, high values at the bottom')
ax.grid(False)
plt.tight_layout()
plt.show()
No description has been provided for this image

Merged Data¶

lets merge the data and generate some more charts/graphs/plots.

md: will be the merged data

In [33]:
md = pd.merge(dd, vd, on=['name','abbr','year','week','year.week','year.p'], how='outer')

display(md.head(10))
name abbr year week year.week year.p deaths deaths_norm Population total_dose total_dose_ratio 1_does_ratio 2_does_ratio td_cumsum 1d_cumsum 2d_cumsum
0 Austria AT 2015 1 2015.01 2015.018868 1704.0 1.100386 NaN NaN NaN NaN NaN NaN NaN NaN
1 Austria AT 2015 2 2015.02 2015.037735 1768.0 1.141715 NaN NaN NaN NaN NaN NaN NaN NaN
2 Austria AT 2015 3 2015.03 2015.056603 1837.0 1.186273 NaN NaN NaN NaN NaN NaN NaN NaN
3 Austria AT 2015 4 2015.04 2015.075470 1792.0 1.157213 NaN NaN NaN NaN NaN NaN NaN NaN
4 Austria AT 2015 5 2015.05 2015.094338 1837.0 1.186273 NaN NaN NaN NaN NaN NaN NaN NaN
5 Austria AT 2015 6 2015.06 2015.113205 1926.0 1.243746 NaN NaN NaN NaN NaN NaN NaN NaN
6 Austria AT 2015 7 2015.07 2015.132073 1992.0 1.286367 NaN NaN NaN NaN NaN NaN NaN NaN
7 Austria AT 2015 8 2015.08 2015.150941 2020.0 1.304448 NaN NaN NaN NaN NaN NaN NaN NaN
8 Austria AT 2015 9 2015.09 2015.169808 1883.0 1.215978 NaN NaN NaN NaN NaN NaN NaN NaN
9 Austria AT 2015 10 2015.10 2015.188676 1846.0 1.192085 NaN NaN NaN NaN NaN NaN NaN NaN

Viewing Merged Data¶

This section presents various charts, graphs, and plots to visualize the relationship between death data and vaccination data. These visualizations aim to explore potential correlations and trends, helping to identify patterns in the data.

Objectives:¶

  1. Highlight any correlations between vaccination rates and death rates.
  2. Compare rankings of countries based on deaths and vaccinations.
  3. Provide insights into how vaccination efforts may influence death rates across countries.

The visualizations will include scatter plots, rank comparisons, and other statistical representations to facilitate interpretation of the merged data.

In [34]:
title = 'Line Chart - Deaths Normalized and Total Doses 2015-2024 (by week)'
display(MD(f'### {title}'))
report = r"docs\md_line.html"


md = md.sort_values(by=['abbr','year.p'])

fig = px.line(
    md,
    x='year.p',
    y=['deaths_norm','total_dose_ratio'],
    color='name',
    height=750,
    title= title
    )
fig.update_layout(template="plotly_dark")

fig.add_shape(
    type="line",
    x0=2015.00, x1=2024.99,
    y0=1, y1=1, # Start and end y-coordinates
    line=dict(color="Red", width=2, dash="dash"),  # Line style
    xref="x", yref="y"          # Reference axes
)

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/md_line.html)'))

fig.show()

Line Chart - Deaths Normalized and Total Doses 2015-2024 (by week)¶

notes:

  • use the link if you can't see it
  • click/double click the countries to filter them in the chart
  • see how all countires have a yearly cycle to the death rate.
  • and that after the pandemic some have returned to the normal cycle, and others have not, and others have dipped below.
In [35]:
title = 'Line Chart - Deaths Normalized and Total Doses (cumsum) 2015-2024 (by week)'
display(MD(f'### {title}'))
report = r"docs\mdcumsum_line.html"


md = md.sort_values(by=['abbr','year.p'])

fig = px.line(
    md,
    x='year.p',
    y=['deaths_norm','td_cumsum'],
    color='name',
    height=750,
    title= title
    )
fig.update_layout(template="plotly_dark")

fig.add_shape(
    type="line",
    x0=2015.00, x1=2024.99,
    y0=1, y1=1, # Start and end y-coordinates
    line=dict(color="Red", width=2, dash="dash"),  # Line style
    xref="x", yref="y"          # Reference axes
)

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/mdcumsum_line.html)'))

fig.show()

Line Chart - Deaths Normalized and Total Doses (cumsum) 2015-2024 (by week)¶

notes:

  • use the link if you can't see it
  • click/double click the countries to filter them in the chart
  • here it's easier to see the most vaccinated countries
In [36]:
title = 'Scatter Chart - Deaths Normalized and Total Doses 2020-2023'
display(MD(f'### {title}'))
report = r"docs\md_scatter.html"


fig = px.scatter(
        md,
        x="total_dose_ratio",      
        y="deaths_norm",       
        color="td_cumsum",      
        hover_name="name",
        title=title,
        labels={"vaccine": "Vaccine Rate", "deaths": "Death Rate"},
        # color_continuous_scale=px.colors.sequential.Viridis,
        height=750
    )
fig.update_layout(template="plotly_dark")

fig.add_shape(
    type="line",
    x0=0, x1=md.total_dose_ratio.max(),
    y0=1, y1=1, # Start and end y-coordinates
    line=dict(color="Red", width=2, dash="dash"),  # Line style
    xref="x", yref="y"          # Reference axes
)

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/md_scatter.html)'))

fig.show()

Scatter Chart - Deaths Normalized and Total Doses 2020-2023¶

notes:

  • use the link if you can't see it
  • hovering over the dots will show you some information
  • the more hot yellow the more cumulative sum of vaccines that country has had
In [37]:
title = 'Scatter Chart - Deaths Normalized and First Doses 2020-2023'
display(MD(f'### {title}'))
report = r"docs\md_1d_scatter.html"


fig = px.scatter(
        md,
        x="1_does_ratio",      
        y="deaths_norm",       
        color="name",      
        hover_name="name",
        title=title,
        labels={"vaccine": "Vaccine Rate", "deaths": "Death Rate"},
        height=750
    )
fig.update_layout(template="plotly_dark")

fig.add_shape(
    type="line",
    x0=0, x1=md['1_does_ratio'].max(),
    y0=1, y1=1, # Start and end y-coordinates
    line=dict(color="Red", width=2, dash="dash"),  # Line style
    xref="x", yref="y"          # Reference axes
)

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/md_1d_scatter.html)'))

fig.show()

Scatter Chart - Deaths Normalized and First Doses 2020-2023¶

notes:

  • use the link if you can't see it
  • click/double click the countries to filter them in the chart
In [38]:
title = 'Scatter Chart - Deaths Normalized and Second Doses 2020-2023'
display(MD(f'### {title}'))
report = r"docs\md_2d_scatter.html"


fig = px.scatter(
        md,
        x="2_does_ratio",      
        y="deaths_norm",       
        color="name",      
        hover_name="name",
        title=title,
        labels={"vaccine": "Vaccine Rate", "deaths": "Death Rate"},
        height=750
    )
fig.update_layout(template="plotly_dark")

fig.add_shape(
    type="line",
    x0=0, x1=md['2_does_ratio'].max(),
    y0=1, y1=1, # Start and end y-coordinates
    line=dict(color="Red", width=2, dash="dash"),  # Line style
    xref="x", yref="y"          # Reference axes
)

# pio.write_html(fig, file=report, auto_open=True)
# display(FileLink(report))
# display(MD('[weblink](https://jgarza9788.github.io/Excess_Mortality_And_Vaccines_In_Europe/md_2d_scatter.html)'))

fig.show()

Scatter Chart - Deaths Normalized and Second Doses 2020-2023¶

notes:

  • use the link if you can't see it
  • click/double click the countries to filter them in the chart
In [39]:
temp = md.copy()
temp = temp[(temp.year >= 2020.00) & (temp.year <= 2023.999)]

temp = pd.pivot_table(
    data = temp,
    values = ['deaths_norm','total_dose_ratio'],
    index = ['abbr','name','year.p'],
    # aggfunc="sum"
)
temp = temp.reset_index()
temp['hue'] = 0.0
for _, row in ddr2023.iterrows():
    temp.loc[temp.abbr == row['abbr'], 'hue'] = _

sns.scatterplot(
    data=temp, 
    x="total_dose_ratio", 
    y="deaths_norm",
    hue='hue',
    edgecolor="black",
    palette='Spectral',
    legend=False
    )

sns.rugplot(
    data=temp, 
    x="total_dose_ratio",
    y="deaths_norm", 
    height=.05,
    hue='hue',
    palette='Spectral',
    legend=False
    )

# Add a title
plt.title("ScatterPlot - deaths and total vaccine doses (2020 - 2023)\nhue based on 2023 deaths", fontsize=16)

# Add vertical and horizontal lines
plt.axvline(x=0.0, color='black', linestyle='--', linewidth=1)  # Vertical line at x=20
plt.axhline(y=1.0, color='black', linestyle='--', linewidth=1)  # Horizontal line at y=3

plt.show()
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notes:

  • this plot is a bit unfair since the vaccines were not out in 2020

so let's just look at 2022-2023

In [40]:
temp = md.copy()
temp = temp[(temp.year >= 2023.00) & (temp.year <= 2023.999)]

temp = pd.pivot_table(
    data = temp,
    values = ['deaths_norm','total_dose_ratio'],
    index = ['abbr','name','year.p'],
    # aggfunc="sum"
)
temp = temp.reset_index()
temp['hue'] = 0.0

for _, row in ddr2023.iterrows():
    temp.loc[temp.abbr == row['abbr'], 'hue'] = _

sns.scatterplot(
    data=temp, 
    x="total_dose_ratio", 
    y="deaths_norm",
    hue='hue',
    edgecolor="black",
    palette='Spectral',
    legend=False
    )

sns.rugplot(
    data=temp, 
    x="total_dose_ratio",
    y="deaths_norm", 
    height=.05,
    hue='hue',
    palette='Spectral',
    legend=False
    )

# Add a title
plt.title("ScatterPlot - deaths and total vaccine doses (2023)\nhue based on 2023 deaths", fontsize=16)

# Add vertical and horizontal lines
plt.axvline(x=0.0, color='black', linestyle='--', linewidth=1)  # Vertical line at x=20
plt.axhline(y=1.0, color='black', linestyle='--', linewidth=1)  # Horizontal line at y=3

plt.show()
No description has been provided for this image

note:

  • this plot's colors are based on the 2023 deaths
  • we can see on the X axis there are fewer high deaths at the 0.0 total_dose_ratio
In [41]:
temp = md.copy()
temp = temp[(temp.year >= 2023.00) & (temp.year <= 2023.999)]

temp = pd.pivot_table(
    data = temp,
    values = ['deaths_norm','total_dose_ratio'],
    index = ['abbr','name','year.p'],
    # aggfunc="sum"
)
temp = temp.reset_index()

## by powering the values it might be easier to see the correlation
#temp.deaths_norm = pow(temp.deaths_norm,2.0)
#temp.total_dose_ratio = pow(temp.total_dose_ratio,2.0) 

temp['hue'] = 0.0

for n, row in ddr2023.iterrows():
    h = 0.0
    if n <= 10.0:
        h = 1.0
    if n >= 20.0:
        h = -1.0
    temp.loc[temp.abbr == row['abbr'], 'hue'] = h

sns.scatterplot(
    data=temp, 
    x="total_dose_ratio", 
    y="deaths_norm",
    hue='hue',
    edgecolor="black",
    palette='Spectral'
    )

sns.rugplot(
    data=temp, 
    x="total_dose_ratio",
    y="deaths_norm", 
    height=.05,
    hue='hue',
    palette='Spectral',
    legend=False
    )

# Add a title
plt.title("ScatterPlot - deaths and total vaccine doses (2023)\nhue based on 2023 deaths", fontsize=16)

# Add vertical and horizontal lines
plt.axvline(x=0.0, color='black', linestyle='--', linewidth=1)  # Vertical line at x=20
plt.axhline(y=1.0, color='black', linestyle='--', linewidth=1)  # Horizontal line at y=3

plt.show()
No description has been provided for this image

note:

  • this plot's colors are based on the 2023 deaths, but we groupped them slow deaths, medium deaths, and high deaths
  • we can see on the X axis there are fewer high deaths at the 0.0 total_dose_ratio
In [42]:
temp = md.copy()
temp = temp[(temp.year >= 2023.00) & (temp.year <= 2023.999)]

temp = pd.pivot_table(
    data = temp,
    values = ['deaths_norm','total_dose_ratio'],
    index = ['abbr','name','year.p'],
    # aggfunc="sum"
)
temp = temp.reset_index()
temp['hue'] = 0.0

for _, row in ddr2023.iterrows():
    temp.loc[temp.abbr == row['abbr'], 'hue'] = _


for nums in [[0,10],[10,20],[20,30]]:

    temp2 =  temp[(temp.hue >= nums[0]) & (temp.hue <= nums[1])]

    sns.scatterplot(
        data=temp2, 
        x="total_dose_ratio", 
        y="deaths_norm",
        # hue='hue',
        edgecolor="black",
        # palette='Spectral',
        legend=False
        )

    sns.rugplot(
        data=temp2, 
        x="total_dose_ratio",
        y="deaths_norm", 
        height=.05,
        # hue='hue',
        # palette='Spectral',
        legend=False
        )

    # Add a title
    plt.title(f"ScatterPlot - deaths and total vaccine doses (2023)\n2023 deaths ranked {nums[0]} to {nums[1]}", fontsize=16)

    # Set axis ranges
    plt.xlim(- 0.001, 0.014)  # Set x-axis range from 0 to 6
    plt.ylim(0.5, 2.0) # Set y-axis range from 5 to 55

    # Add vertical and horizontal lines
    plt.axvline(x=0.0, color='black', linestyle='--', linewidth=1)  # Vertical line at x=20
    plt.axhline(y=1.0, color='black', linestyle='--', linewidth=1)  # Horizontal line at y=3

    plt.show()
No description has been provided for this image
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note:

  • in the plots above the death groups are broken in there own plot
  • notice that the last plot much lower deaths and vaccines
In [43]:
temp = md.copy()
temp = temp[(temp.year >= 2023.00) & (temp.year <= 2023.999)]

temp = pd.pivot_table(
    data = temp,
    values = ['deaths_norm','total_dose_ratio'],
    index = ['abbr','name','year.p'],
    # aggfunc="sum"
)
temp = temp.reset_index()
temp['hue'] = 0.0

for _, row in vdravg.iterrows():
    temp.loc[temp.abbr == row['abbr'], 'hue'] = _

sns.scatterplot(
    data=temp, 
    x="total_dose_ratio", 
    y="deaths_norm",
    hue='hue',
    edgecolor="black",
    palette='Spectral',
    legend=False
    )

sns.rugplot(
    data=temp, 
    x="total_dose_ratio",
    y="deaths_norm", 
    height=.05,
    hue='hue',
    palette='Spectral',
    legend=False
    )

# Add a title
plt.title("ScatterPlot - deaths and total vaccine doses (2023)\nhue based on 2020-2023 average vaccinations", fontsize=16)

# Add vertical and horizontal lines
plt.axvline(x=0.0, color='black', linestyle='--', linewidth=1)  # Vertical line at x=20
plt.axhline(y=1.0, color='black', linestyle='--', linewidth=1)  # Horizontal line at y=3

# display(vdravg)
plt.show()
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output data¶

In [44]:
ddr2023.to_csv(os.path.join(OutDIR,'ddr2023.csv'),index= False)
ddr2024.to_csv(os.path.join(OutDIR,'ddr2024.csv'),index= False)
vdr2023.to_csv(os.path.join(OutDIR,'vdr2023.csv'),index= False)
vdravg.to_csv(os.path.join(OutDIR,'vdravg.csv'),index= False)

note:

  • the plot above is the same data, but the color is now based on the average vaccinations (2020-2023)

Conclusion¶

with a Spearman Rank Correlation of ~0.2352 and a Kendall's Tau of ~0.1632 there is definitely a positive correlation between the amount of vaccines a country took and the amount deaths those countries have experienced, and how those countries death rate has not bounced back to normal.

the most vaccinated countries have the most deaths, which is the opposite from the hypothesis above.

However this correlation is week, how can we make it stronger.

  • filter out the deaths of old people (since there death might not be related to the vaccine)
  • filter only by specific deaths (heart attack, stroke, and other blood and Circular Vascular related issues)

I would like to make a note of this:

  • shouldn't we see the opposite correlation... where the most vaccinated countries have fewer deaths ?

FAQs answers contain my point of view and opinion¶

  • Is it possible that the deaths are not related to the vaccine?

    • yes, the correlation is low ... so it is possible that the deaths are not related to the vaccine.
    • a good experiment is repeatable, so we could
      • so if we do this with united states data, we would have the same result.
  • Is there a chance that the vaccine is not working as intended?

    • the vaccine was made to save lives and to get the world back to normal faster.
    • the data does not support the claim that the "vaccine is working as intended"
  • The Doctor (CDC, or other health authority) says the vaccines work as intended?

    • A doctor is a human that uses the scienific method to improve the lives and health of human beings,
      • if a doctor is not using the scientific method then they are just cosplaying.
    • Suggestion say "show me the data"
      • .
      • .
    • this question is uses the "Appeal to Authority"
      • it's a logical fallacy
        • The insert an authority says statement.
  • "But I have lived through the time when vaccines saved us from Polio, Measles and SmallPox."

      1. this is another logical fallacy called "Straw Man"
      • the data above was clearly talking about the covid vaccine and how countries' death rates were effected over time.
      1. but i'll play your silly game... and there is one little thing you need to do. and that is ...
      • .
      • .

please consider (other data)¶

  • doing this analysis yourself with the same or similar data.

  • read a book or two turtles all the way down

  • read other reports/studies

    • Pfizer's own study shows their COVID vaccines increase your risk of serious adverse events (up to 71% higher)
      • link to full study
    • Behavioral and Health Outcomes of mRNA COVID-19 Vaccination: A Case-Control Study in Japanese Small and Medium-Sized Enterprises
      • "The odds of contracting COVID-19 increased with the number of vaccine doses"

      • Conclusion "The study observed a higher reported incidence of COVID-19 infection among vaccinated individuals during the pandemic period, which increased with the number of vaccine doses received. This paradoxical finding may be influenced by various factors, including immune response mechanisms, such as antibody-dependent enhancement (ADE) or original antigenic sin, behavioral changes, and exposure risk. Understanding these factors is crucial for urgently enhancing public health strategies and vaccination programs."

        1. Antibody-Dependent Enhancement (ADE):
          Sometimes, antibodies produced after vaccination or infection can accidentally help a virus infect cells instead of stopping it. This is called ADE. It’s a rare and complex immune response.

        2. Original Antigenic Sin:
          When your immune system encounters a virus or vaccine for the first time, it "learns" how to fight it. Later, if a similar virus appears, your body might rely on that earlier response, even if it’s not the best fit for the new virus. This can make your immune response less effective.

        3. Behavioral Changes:
          After getting vaccinated, people might feel safer and take fewer precautions (like wearing masks or avoiding crowded places). This can increase their chances of being exposed to the virus.

        4. Exposure Risk:
          This refers to how often and how much a person comes into contact with the virus. For example, someone working in a busy hospital might be exposed to COVID-19 more often than someone who stays at home, regardless of vaccination status.

  • Fork this GitHub repository GitHub Link

  • watch/search on youtube or Rumble

Name Rumble Link YouTube Link
Dr. John Campbell Rumble YouTube
Rogue Scientist Rumble YouTube
Dr. Pierre Kory Rumble YouTube
Dr. Robert Malone Rumble YouTube
Dr. Peter McCullough Rumble YouTube
  • Recommended Videos
    Dr John Campbell's Descent into Darkness (youtube)
    Dr John Campbell's Descent into Darkness (Rumble)
    Viral Vaccine paper (youtube)
    Viral Vaccine paper (Rumble)

In Part 2 we take a look at causes of death¶

Part 2